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Deep learning research

Albumentations is widely used in research areas related to computer vision and deep learning. If you find this library useful for your research, please consider citing Albumentations: Fast and Flexible Image Augmentations: 
@Article{info11020125,
    AUTHOR = {Buslaev, Alexander and Iglovikov, Vladimir I. and Khvedchenya, Eugene and Parinov, Alex and Druzhinin, Mikhail and Kalinin, Alexandr A.},
    TITLE = {Albumentations: Fast and Flexible Image Augmentations},
    JOURNAL = {Information},
    VOLUME = {11},
    YEAR = {2020},
    NUMBER = {2},
    ARTICLE-NUMBER = {125},
    URL = {https://www.mdpi.com/2078-2489/11/2/125},
    ISSN = {2078-2489},
    DOI = {10.3390/info11020125}
}

List of papers that cite Albumentations

1. AutoML: A survey of the state-of-the-art
- X He, K Zhao, X Chu
2. Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better
- O Kupyn, T Martyniuk, J Wu
3. Automatic instrument segmentation in robot-assisted surgery using deep learning
- AA Shvets, A Rakhlin, AA Kalinin
4. Transformation-consistent self-ensembling model for semisupervised medical image segmentation
- X Li, L Yu, H Chen, CW Fu, L Xing
5. TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
- F Pérez-García, R Sparks, S Ourselin
6. COVID-19 prediction and detection using deep learning
- M Alazab, A Awajan, A Mesleh
7. Synthetic data for deep learning
- SI Nikolenko
8. Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
- G Marques, D Agarwal, I de la Torre Díez
9. Video face manipulation detection through ensemble of cnns
- N Bonettini, ED Cannas, S Mandelli
10. Angiodysplasia detection and localization using deep convolutional neural networks
- AA Shvets, VI Iglovikov, A Rakhlin
11. End-to-end privacy preserving deep learning on multi-institutional medical imaging
- G Kaissis, A Ziller, J Passerat-Palmbach
12. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
- CP Jayapandian, Y Chen, AR Janowczyk, MB Palmer
13. Deep convolutions for in-depth automated rock typing
- EE Baraboshkin, LS Ismailova, DM Orlov
14. U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images
- SMK Hasan, CA Linte
15. Dense dilated convolutions' merging network for land cover classification
- Q Liu, M Kampffmeyer, R Jenssen
16. Self-supervised learning for dense depth estimation in monocular endoscopy
- X Liu, A Sinha, M Unberath, M Ishii, GD Hager
17. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
- Á Casado-García, C Domínguez
18. Semi-supervised segmentation of salt bodies in seismic images using an ensemble of convolutional neural networks
- Y Babakhin, A Sanakoyeu, H Kitamura
19. Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
- LO Teixeira, RM Pereira, D Bertolini, LS Oliveira
20. Accurate and efficient intracranial hemorrhage detection and subtype classification in 3D CT scans with convolutional and long short-term memory neural networks
- M Burduja, RT Ionescu, N Verga
21. End-to-end learning for semiquantitative rating of COVID-19 severity on chest X-rays
- A Signoroni, M Savardi, S Benini, N Adami
22. Camera-to-robot pose estimation from a single image
- TE Lee, J Tremblay, T To, J Cheng
23. A review of medical image data augmentation techniques for deep learning applications
- P Chlap, H Min, N Vandenberg
24. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
- A Signoroni, M Savardi, S Benini, N Adami
25. ImageNet pre-trained CNNs for JPEG steganalysis
- Y Yousfi, J Butora, E Khvedchenya
26. Urban sound tagging using convolutional neural networks
- S Adapa
27. MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
- R Verma, N Kumar, A Patil, NC Kurian
28. StandardGAN: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization
- O Tasar, Y Tarabalka, A Giros
29. Road damage detection and classification with detectron2 and faster r-cnn
- V Pham, C Pham, T Dang
30. Exploring complementary strengths of invariant and equivariant representations for few-shot learning
- MN Rizve, S Khan, FS Khan
31. Deep Learning for Earth Sciences
- G Camps-Valls, M Reichstein, Z Xiaoxiang, D Tuia
32. Drone vs. bird detection: Deep learning algorithms and results from a grand challenge
- A Coluccia, A Fascista, A Schumann, L Sommer
33. Pixmatch: Unsupervised domain adaptation via pixelwise consistency training
- L Melas-Kyriazi, AK Manrai
34. Daugnet: Unsupervised, multisource, multitarget, and life-long domain adaptation for semantic segmentation of satellite images
- O Tasar, A Giros, Y Tarabalka, P Alliez
35. Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation
- H Qiu, Y Zeng, S Guo, T Zhang, M Qiu
36. Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
- F Maleki, N Muthukrishnan, K Ovens
37. Easyaug: An automatic textual data augmentation platform for classification tasks
- S Qiu, B Xu, J Zhang, Y Wang, X Shen
38. Convolutional neural network for drowsiness detection using EEG signals
- S Chaabene, B Bouaziz, A Boudaya, A Hökelmann
39. Camera model identification using convolutional neural networks
- A Kuzin, A Fattakhov, I Kibardin
40. Identifying melanoma images using efficientnet ensemble: Winning solution to the siim-isic melanoma classification challenge
- Q Ha, B Liu, F Liu
41. Automatic salt deposits segmentation: A deep learning approach
- M Karchevskiy, I Ashrapov, L Kozinkin
42. Learning accurate dense correspondences and when to trust them
- P Truong, M Danelljan, L Van Gool
43. General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
- L Nanni, S Brahnam, S Ghidoni, G Maguolo
44. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
- Y Xu, HK Lam, G Jia
45. Training CNNs in presence of JPEG compression: Multimedia forensics vs computer vision
- S Mandelli, N Bonettini, P Bestagini
46. Monitoring sugar crystallization with deep neural networks
- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu
47. Method for diagnosis of acute lymphoblastic leukemia based on ViT-CNN ensemble model
- Z Jiang, Z Dong, L Wang, W Jiang
48. Deep learning for retail product recognition: Challenges and techniques
- Y Wei, S Tran, S Xu, B Kang, M Springer
49. Training strategies and data augmentations in cnn-based deepfake video detection
- L Bondi, ED Cannas, P Bestagini
50. Severity assessment and progression prediction of COVID-19 patients based on the LesionEncoder framework and chest CT
- YZ Feng, S Liu, ZY Cheng, JC Quiroz, D Rezazadegan
51. Breast tumor cellularity assessment using deep neural networks
- A Rakhlin, A Tiulpin, AA Shvets
52. Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2
- K Isaienkov, M Yushchuk, V Khramtsov
53. Unsupervised anomaly instance segmentation for baggage threat recognition
- T Hassan, S Akçay, M Bennamoun, S Khan
54. An online learning system for wireless charging alignment using surround-view fisheye cameras
- A Dahal, VR Kumar, S Yogamani
55. Landslide segmentation with U-Net: Evaluating different sampling methods and patch sizes
- LP Soares, HC Dias, CH Grohmann
56. Deepfake detection scheme based on vision transformer and distillation
- YJ Heo, YJ Choi, YW Lee, BG Kim
57. The inclusive images competition
- J Atwood, Y Halpern, P Baljekar, E Breck
58. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets
- Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong
59. Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E …
- S Klein, A Quaas, J Quantius, H Löser, J Meinel
60. Road segmentation using u-net architecture
- NYQ Abderrahim, S Abderrahim
61. A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities
- Y Cao, X Huang
62. Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
- U Otamendi, I Martinez, M Quartulli, IG Olaizola, E Viles
63. A novel approach to data augmentation for pavement distress segmentation
- D Mazzini, P Napoletano, F Piccoli, R Schettini
64. Synthetic data augmentation for zero-shot cross-lingual question answering
- A Riabi, T Scialom, R Keraron, B Sagot
65. Data augmentation from RGB to chlorophyll fluorescence imaging application to leaf segmentation of Arabidopsis thaliana from top view images
- N Sapoukhina, S Samiei, P Rasti
66. Vision transformer based COVID-19 detection using chest X-rays
- KS Krishnan, KS Krishnan
67. Sea ice classification of SAR imagery based on convolution neural networks
- S Khaleghian, H Ullah, T Kræmer, N Hughes, T Eltoft
68. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review
- N Wambugu, Y Chen, Z Xiao, K Tan, M Wei
69. Divergentnets: Medical image segmentation by network ensemble
- V Thambawita, SA Hicks, P Halvorsen
70. Image-based high-throughput detection and phenotype evaluation method for multiple lettuce varieties
- J Du, X Lu, J Fan, Y Qin, X Yang, X Guo
71. Autonomous mobile robot for apple plant disease detection based on cnn and multi-spectral vision system
- P Karpyshev, V Ilin, I Kalinov
72. Application of neural networks to image recognition of wheat rust diseases
- M Genaev, S Ekaterina
73. Semantic segmentation of smartphone wound images: Comparative analysis of AHRF and CNN-based approaches
- A Wagh, S Jain, A Mukherjee, E Agu
74. AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
- Y Yin, D Xu, X Wang, L Zhang
75. Bayesian feature pyramid networks for automatic multi-label segmentation of chest X-rays and assessment of cardio-thoratic ratio
- R Solovyev, I Melekhov, T Lesonen
76. Understanding the decisions of CNNs: An in-model approach
- I Rio-Torto, K Fernandes, LF Teixeira
77. Pneumothorax segmentation with effective conditioned post-processing in chest X-ray
- V Groza, A Kuzin
78. Deep learning methods for screening pulmonary tuberculosis using chest x-rays
- C Dasanayaka, MB Dissanayake
79. Wheat head detection using deep, semi-supervised and ensemble learning
- F Fourati, WS Mseddi, R Attia
80. A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
- T Meraj, W Alosaimi, B Alouffi, HT Rauf
81. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate …
- N Marini, S Otálora, H Müller, M Atzori
82. Image-based wheat fungi diseases identification by deep learning
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova
83. Speech driven talking face generation from a single image and an emotion condition
- SE Eskimez, Y Zhang, Z Duan
84. A modular region and text line layout analysis system
- B Kiessling
85. Deepfake detection by human crowds, machines, and machine-informed crowds
- M Groh, Z Epstein, C Firestone
86. The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
- MA Kutlugün, Y Sirin
87. Principled ultrasound data augmentation for classification of standard planes
- LH Lee, Y Gao, JA Noble
88. Multi-label contrastive learning for abstract visual reasoning
- M Małkiński, J Mańdziuk
89. Methods for preventing visual attacks in convolutional neural networks based on data discard and dimensionality reduction
- N Andriyanov
90. Few-shot learning with a novel Voronoi tessellation-based image augmentation method for facial palsy detection
- OO Abayomi-Alli, R Damaševičius, R Maskeliūnas
91. Image stylization for robust features
- I Melekhov, GJ Brostow, J Kannala
92. Ensemble size classification in Colombian Andean string music recordings
- S Grollmisch, E Cano, F Mora Ángel
93. Visual identification of articulated object parts
- V Zeng, TE Lee, J Liang
94. Deepfake detection using capsule networks with long short-term memory networks
- A Mehra
95. Weighted ensemble object detection with optimized coefficients for remote sensing images
- A Körez, N Barışçı, A Çetin, U Ergün
96. Combining efficientnet and vision transformers for video deepfake detection
- DA Coccomini, N Messina, C Gennaro
97. Robust skin disease classification by distilling deep neural network ensemble for the mobile diagnosis of Herpes zoster
- S Back, S Lee, S Shin, Y Yu, T Yuk, S Jong
98. A Deep learning approach to Hazard detection for Autonomous Lunar landing
- R Moghe, R Zanetti
99. Deep depth from aberration map
- M Kashiwagi, N Mishima
100. A weak supervision machine vision detection method based on artificial defect simulation
- C Li, Y Huang, H Li, X Zhang
101. Arrow R-CNN for handwritten diagram recognition
- B Schäfer, M Keuper, H Stuckenschmidt
102. A deep learning approach for complex microstructure inference
- AR Durmaz, M Müller, B Lei, A Thomas, D Britz
103. Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images
- H Wieslander, PJ Harrison, G Skogberg
104. Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images
- G Pavoni, M Corsini, N Pedersen, V Petrovic
105. Moiré pattern removal via attentive fractal network
- D Xu, Y Chu, Q Sun
106. Use of images augmentation and implementation of doubly stochastic models for improving accuracy of recognition algorithms based on convolutional neural …
- VE Dementyiev, NA Andriyanov
107. End-to-end deep learning methods for automated damage detection in extreme events at various scales
- Y Bai, H Sezen, A Yilmaz
108. A flatter loss for bias mitigation in cross-dataset facial age estimation
- A Akbari, M Awais, Z Feng, A Farooq
109. A load frame for in situ tomography at PETRA III
- J Moosmann, DCF Wieland
110. Segmentation model of the opacity regions in the chest X-rays of the Covid-19 patients in the us rural areas and the application to the disease severity
- H Tang, N Sun, Y Li
111. A framework for knowing who is doing what in aerial surveillance videos
- F Yang, S Sakti, Y Wu, S Nakamura
112. An evaluation of DNN architectures for page segmentation of historical newspapers
- B Liebl, M Burghardt
113. Normalization of HE-stained histological images using cycle consistent generative adversarial networks
- M Runz, D Rusche, S Schmidt, MR Weihrauch
114. Resources for image-based high-throughput phenotyping in crops and data sharing challenges
- MF Danilevicz, PE Bayer, BJ Nestor
115. Two-stream convolutional neural network based on gradient image for aluminum profile surface defects classification and recognition
- C Duan, T Zhang
116. Scg-net: self-constructing graph neural networks for semantic segmentation
- Q Liu, M Kampffmeyer, R Jenssen
117. MaskHunter: real‐time object detection of face masks during the COVID‐19 pandemic
- Z Cao, M Shao, L Xu, S Mu, H Qu
118. A hybrid deep convolutional neural network for accurate land cover classification
- N Wambugu, Y Chen, Z Xiao, M Wei, SA Bello
119. Real-time tracking of guidewire robot tips using deep convolutional neural networks on successive localized frames
- I Ullah, P Chikontwe, SH Park
120. A deep learning based object identification system for forest fire detection
- F Guede-Fernández, L Martins, RV de Almeida
121. A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
- E Tasci, C Uluturk, A Ugur
122. Localization of cementoenamel junction in intraoral ultrasonographs with machine learning
- KCT Nguyen, BM Le, M Li, FT Almeida, PW Major
123. Image compositing for segmentation of surgical tools without manual annotations
- LC Garcia-Peraza-Herrera, L Fidon
124. Smart pothole detection using deep learning based on dilated convolution
- KR Ahmed
125. MixChannel: Advanced augmentation for multispectral satellite images
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
126. FCCDN: Feature constraint network for VHR image change detection
- P Chen, B Zhang, D Hong, Z Chen, X Yang
127. Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas
- N Zioulis, F Alvarez, D Zarpalas, P Daras
128. SpheroidJ: an open-source set of tools for spheroid segmentation
- D Lacalle, HA Castro-Abril, T Randelovic
129. Cats: Cost aggregation transformers for visual correspondence
- S Cho, S Hong, S Jeon, Y Lee
130. 车载探地雷达地下目标实时探测法
- 杨必胜， 宗泽亮， 陈驰， 孙文鹿， 米晓新， 吴唯同
131. Fruit detection and load estimation of an orange orchard using the YOLO models through simple approaches in different imaging and illumination conditions
- H Mirhaji, M Soleymani, A Asakereh
132. Gandlf: A generally nuanced deep learning framework for scalable end-to-end clinical workflows in medical imaging
- S Pati, SP Thakur, M Bhalerao, S Thermos
133. {FlashNeuron}:{SSD-Enabled}{Large-Batch} Training of Very Deep Neural Networks
- J Bae, J Lee, Y Jin, S Son, S Kim, H Jang
134. Multi-level dilated residual network for biomedical image segmentation
- NR Gudhe, H Behravan, M Sudah, H Okuma
135. Cnn and deep sets for end-to-end whole slide image representation learning
- S Hemati, S Kalra, C Meaney
136. CRNNs for Urban Sound Tagging with spatiotemporal context
- A Arnault, N Riche
137. Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
- R Lõuk, A Riid, R Pihlak, A Tepljakov
138. Warp consistency for unsupervised learning of dense correspondences
- P Truong, M Danelljan, F Yu
139. Danish fungi 2020-not just another image recognition dataset
- L Picek, M Šulc, J Matas
140. Training on polar image transformations improves biomedical image segmentation
- M Benčević, I Galić, M Habijan, D Babin
141. Benchmark for generic product detection: a low data baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
142. The impact of padding on image classification by using pre-trained convolutional neural networks
- H Tang, A Ortis, S Battiato
143. Classification and understanding of cloud structures via satellite images with EfficientUNet
- T Ahmed, NHN Sabab
144. MSMatch: Semisupervised Multispectral Scene Classification With Few Labels
- P Gómez, G Meoni
145. An Efficient Solution for Semantic Segmentation of Three Ground‐based Cloud Datasets
- Q Song, Z Cui, P Liu
146. PathML: a unified framework for whole-slide image analysis with deep learning
- AG Berman, WR Orchard, M Gehrung, F Markowetz
147. On-line hazard detection algorithm for precision lunar landing using semantic segmentation
- R Moghe, R Zanetti
148. Multi-class brain tumor segmentation via multi-sequences mri mixture data preprocessing
- A Letyagin, S Golushko, M Amelin
149. Improving deep learning sorghum head detection through test time augmentation
- C Gonzalo-Martín, A García-Pedrero
150. DCNN-based Screw Classification in Automated Disassembly Processes.
- E Yildiz, F Wörgötter
151. Automatic fault mapping in remote optical images and topographic data with deep learning
- L Mattéo, I Manighetti, Y Tarabalka
152. Artificial intelligence in quantitative ultrasound imaging: A review
- B Zhou, X Yang, T Liu
153. Comparing human and machine deepfake detection with affective and holistic processing
- M Groh, Z Epstein, C Firestone, R Picard
154. Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning
- A Sugeno, Y Ishikawa, T Ohshima
155. Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation
- T Monjo, M Koido, S Nagasawa, Y Suzuki
156. Deep learning-based spacecraft relative navigation methods: A survey
- J Song, D Rondao, N Aouf
157. Social distancing detection and analysis through computer vision
- S Madane, D Chitre
158. Deep learning-based four-region lung segmentation in chest radiography for COVID-19 diagnosis
- YG Kim, K Kim, D Wu, H Ren, WY Tak, SY Park
159. Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
- L Sharan, G Romano, S Koehler, H Kelm
160. Data preprocessing via multi-sequences mri mixture to improve brain tumor segmentation
- V Groza, B Tuchinov, E Pavlovskiy, E Amelina
161. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
- A Abedalla, M Abdullah, M Al-Ayyoub
162. Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine
- I Khokhlov, L Krasnov, MV Fedorov
163. On attribution of deepfakes
- B Zhang, JP Zhou, I Shumailov, N Papernot
164. Generation of the nir spectral band for satellite images with convolutional neural networks
- S Illarionova, D Shadrin, A Trekin, V Ignatiev
165. A U-Net Based Approach for Automating Tribological Experiments
- B Staar, S Bayrak, D Paulkowski, M Freitag
166. Multi-scale task multiple instance learning for the classification of digital pathology images with global annotations
- N Marini, S Otálora, F Ciompi
167. Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis
- M Böhland, L Tharun, T Scherr, R Mikut
168. Agmb-transformer: Anatomy-guided multi-branch transformer network for automated evaluation of root canal therapy
- Y Li, G Zeng, Y Zhang, J Wang, Q Jin
169. Method for whale re-identification based on siamese nets and adversarial training
- W Wang, RA Solovyev, AL Stempkovsky
170. Point proposal based instance segmentation with rectangular masks for robot picking task
- S Ito, S Kubota
171. Scaling ensemble distribution distillation to many classes with proxy targets
- M Ryabinin, A Malinin, M Gales
172. The study of improving the accuracy of convolutional neural networks in face recognition tasks
- N Andriyanov, V Dementev, A Tashlinskiy
173. A semi-self-supervised learning approach for wheat head detection using extremely small number of labeled samples
- K Najafian, A Ghanbari, I Stavness
174. Adapting Convolutional Neural Networks for Geographical Domain Shift
- P Ostyakov, SI Nikolenko
175. Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms
- V Guryanova
176. FruitDet: Attentive feature aggregation for real-time fruit detection in orchards
- FA Kateb, MM Monowar, MA Hamid, AQ Ohi
177. Data preprocessing via compositions multi-channel mri images to improve brain tumor segmentation
- N Tolstokulakov, E Pavlovskiy
178. Refinement Network for unsupervised on the scene Foreground Segmentation
- M Pardas, G Canet
179. Improving semi-supervised learning for audio classification with FixMatch
- S Grollmisch, E Cano
180. The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning
- N Koriakina, N Sladoje
181. Vehicle-Rear: A new dataset to explore feature fusion for vehicle identification using convolutional neural networks
- IO De Oliveira, R Laroca, D Menotti
182. Landslide susceptibility prediction based on image semantic segmentation
- B Du, Z Zhao, X Hu, G Wu, L Han, L Sun
183. Object-based augmentation for building semantic segmentation: Ventura and santa Rosa case study
- S Illarionova, S Nesteruk, D Shadrin
184. What's wrong with this video? Comparing Explainers for Deepfake Detection
- S Pino, MJ Carman, P Bestagini
185. DFGC 2021: a DeepFake game competition
- B Peng, H Fan, W Wang, J Dong, Y Li
186. Object-based augmentation improves quality of remote sensingsemantic segmentation
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
187. Global adaptive filtering layer for computer vision
- V Shipitsin, I Bespalov, DV Dylov
188. Contextual pyramid attention network for building segmentation in aerial imagery
- C Sebastian, R Imbriaco, E Bondarev
189. When texture matters: texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection
- E Wetzer, J Gay, H Harlin, J Lindblad
190. Urban sound classification: Striving towards a fair comparison
- A Arnault, B Hanssens, N Riche
191. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery Using Deep Learning Techniques
- O Baghirli, I Ibrahimli, T Mammadzada
192. Artificial Intelligence based identification of Total Knee Arthroplasty Implants
- S Ghose, S Datta, V Batta, C Malathy
193. SwiftSRGAN-Rethinking Super-Resolution for Efficient and Real-time Inference
- KS Krishnan, KS Krishnan
194. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images
- Q Liu, M Kampffmeyer, R Jenssen
195. A CNN-based length-aware cascade road damage detection approach
- H Xu, B Chen, J Qin
196. 残差密集相对平均 CGAN 的脑部图像配准
- 王丽芳， 张程程， 秦品乐， 蔺素珍， 高媛， 窦杰亮
197. Synface: Face recognition with synthetic data
- H Qiu, B Yu, D Gong, Z Li, W Liu
198. Retinopathy diagnosis using semi-supervised multi-channel generative adversarial network
- Y Xie, Q Wan, G Chen, Y Xu, B Lei
199. Exploiting sample correlation for crowd counting with multi-expert network
- X Liu, G Li, Z Han, W Zhang, Y Yang
200. Efficient palm-line segmentation with U-net context fusion module
- TP Van, ST Nguyen, LB Doan, NN Tran
201. Self-supervised audiovisual representation learning for remote sensing data
- K Heidler, L Mou, D Hu, P Jin, G Li, C Gan
202. Semi-automatic manga colorization using conditional adversarial networks
- M Golyadkin, I Makarov
203. Early Detection of Malpositioned Catheters and Lines on Chest X-Rays using Deep Learning
- ABM Khan, SMA Ali
204. Automated pneumothorax triaging in chest X‐rays in the New Zealand population using deep‐learning algorithms
- S Feng, Q Liu, A Patel, SU Bazai, CK Jin
205. Densely connected feature pyramid network for image segmentation
- Y Jia, J Tan, Y Xing, P Hong
206. Analysis of the paraspinal muscle morphology of the lumbar spine using a convolutional neural network (CNN)
- D Baur, R Bieck, J Berger, J Neumann
207. Video and sensor-based rope pulling detection in sport climbing
- I Ivanova, M Andrić, S Moaveninejad, A Janes
208. Estimating displaced populations from overhead
- A Hadzic, G Christie, J Freeman
209. Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System
- AS Kashin, DA Boiko, VP Ananikov
210. MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble
- J Marti Asenjo, A Martinez-Larraz Solís
211. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet
- A Sheka, V Samun, T Chumarnaya
212. Benchmark for generic product detection: a strong baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
213. Deep learning-based smart IoT health system for blindness detection using retina images
- AK Jaiswal, P Tiwari, S Kumar, MS Al-Rakhami
214. Disease detection in rice leaves using transfer learning techniques
- G Kathiresan, M Anirudh, M Nagharjun
215. Defect Detection of Metal Nuts Applying Convolutional Neural Networks
- D Sauter, A Schmitz, F Dikici
216. Progressive transfer learning approach for identifying the leaf type by optimizing network parameters
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217. SinGAN-Seg: Synthetic training data generation for medical image segmentation
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218. Addressing materials' microstructure diversity using transfer learning
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219. Automatic sorting of Dwarf Minke Whale underwater images
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220. On the cross-dataset generalization in license plate recognition
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221. Physical cue based depth-sensing by color coding with deaberration network
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222. Semi-supervised learning for cervical precancer detection
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223. Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business
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224. A Dual-stream Framework for 3D Mask Face Presentation Attack Detection
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225. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
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226. Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
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227. AVN: An Adversarial Variation Network Model for Handwritten Signature Verification
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228. Synthesize and segment: towards improved catheter segmentation via adversarial augmentation
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229. Side-scan sonar image synthesis based on generative adversarial network for images in multiple frequencies
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230. Efficient attention-based deep encoder and decoder for automatic crack segmentation
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231. Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases
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232. Learning representations with contrastive self-supervised learning for histopathology applications
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233. Detection and prediction of nutrient deficiency stress using longitudinal aerial imagery
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234. Exploitation of data augmentation strategies for improved uav detection
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235. A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket …
- AYC Tam, BPH So, TTC Chan, AKY Cheung
236. FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
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237. CrackWeb: A modified U-Net based segmentation architecture for crack detection
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238. Detecting subsurface drainage pipes using a fully convolutional network with optical images
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239. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
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240. A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography
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241. Annotation quality vs. quantity for deep-learned medical image segmentation
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242. Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing
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243. Semantic Segmentation of Low Earth Orbit Satellites using Convolutional Neural Networks
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244. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images
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245. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …
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246. Light-Weight Document Image Cleanup Using Perceptual Loss
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247. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
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248. Prior Attention Network for Multi-Lesion Segmentation in Medical Images
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249. ClipAssistNet: bringing real-time safety feedback to operating rooms
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250. Deep-learning based segmentation of challenging myelin sheaths
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251. Digging Into Self-Supervised Learning of Feature Descriptors
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252. GAN-SMOTE: a generative adversarial network approach to synthetic minority oversampling for one-hot encoded data
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253. Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
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254. Neural mesh refiner for 6-dof pose estimation
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255. Robust deep learning-based semantic organ segmentation in hyperspectral images
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256. Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images
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257. Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
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258. Structured Meta-Learning for Cross-Domain Few-Shot Classification. A study on structured representations and their effectiveness when dealing with tasks from …
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259. An affordable image-analysis platform to accelerate stomatal phenotyping During microscopic observation
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260. Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain
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261. Improved U-Net based on contour prediction for efficient segmentation of rectal cancer
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262. Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
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263. Detecting and adapting to irregular distribution shifts in bayesian online learning
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264. Offline Bangla Handwritten Text Recognition: A Comprehensive Study of Various Deep Learning Approaches
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265. Sketch2BPMN: Automatic recognition of hand-drawn BPMN models
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266. Super-resolution: 2. Machine learning-based approach
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267. Automated measurement of Vickers hardness using image segmentation with neural networks
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268. Feature-based image registration in structured light endoscopy
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269. Robust object detection with multi-input multi-output faster r-cnn
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270. Tracking and Counting of Tomato at Different Growth Period Using an Improving YOLO-Deepsort Network for Inspection Robot
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271. A simple data augmentation method to improve the performance of named entity recognition models in medical domain
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272. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels
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273. If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
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274. Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images
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275. XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation
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276. MFFN: An Underwater Sensing Scene Image Enhancement Method Based on Multiscale Feature Fusion Network
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277. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models
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278. Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
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279. H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
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280. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences
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281. Detecting aerial objects: drones, birds, and helicopters
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282. Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
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283. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
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284. Automated annotator variability inspection for biomedical image segmentation
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285. Taumed: Test augmentation of deep learning in medical diagnosis
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286. DBA_SSD: A novel end-to-end object detection algorithm applied to plant disease detection
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287. Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis
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288. Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models
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289. Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives
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290. Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation
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291. Dermoscopic attributes classification using deep learning and multi-task learning
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292. FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild
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293. Scaling the U-net: segmentation of biodegradable bone implants in high-resolution synchrotron radiation microtomograms
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294. Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers
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295. Brain tumor segmentation and associated uncertainty evaluation using multi-sequences MRI mixture data preprocessing
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296. The role of data for one-shot semantic segmentation
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297. Using channel and network layer pruning based on deep learning for real-time detection of ginger images
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298. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
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299. Ten quick tips for deep learning in biology
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300. Application of shared backbone DNNs in ADAS perception systems
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301. AUTOMATED QUANTIFICATION OF VITREOUS HYPERREFLECTIVE FOCI AND VITREOUS HAZE USING OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS …
- H Lee, S Kim, H Chung, HC Kim
302. Artificial intelligence and image processing in the MIRET approach for the water detection and integrated geotechnical management of existing mechanized …
- F Foria, M Calicchio, A Tarquini, G Miceli
303. BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images
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304. Prototype Memory for Large-Scale Face Representation Learning
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305. Variational beam search for novelty detection
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306. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных
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307. End-to-End Optical Character Recognition for Bengali Handwritten Words
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308. Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
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309. How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?
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310. Encoder-Recurrent Decoder Network for Single Image Dehazing
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311. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
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312. Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique
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313. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
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314. Flood detection with sentinel-2 satellite images in crisis management systems
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315. Exploring 2D data augmentation for 3D monocular object detection
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316. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
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317. Deployed deep learning kidney segmentation for polycystic kidney disease MRI
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318. Robotic cable routing with spatial representation
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319. Usage of compressed domain in fast frameworks
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320. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
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321. AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval
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322. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
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323. Ring artifacts segmentation on microtomographic images by convolutional neural networks
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324. Safe augmentation: Learning task-specific transformations from data
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325. DilUnet: A U-net based architecture for blood vessels segmentation
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326. IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing plm for recam with special tokens, re-ranking, siamese encoders and back translation
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327. Visual detection and tracking algorithms for minimally invasive surgical instruments: a comprehensive review of the state-of-the-art
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328. 3D convolutional neural networks for stalled brain capillary detection
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329. Eff-UNet++: A novel architecture for plant leaf segmentation and counting
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330. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection
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331. Augmentation-based object detection for winter time applications
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332. Micromobility safety applications using AI
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333. Automatic fungi recognition: Deep learning meets mycology
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334. Anomalib: A Deep Learning Library for Anomaly Detection
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335. Использование аугментации изображений совместно с реализацией дважды стохастической модели для улучшения качества работы алгоритмов …
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336. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using …
- JH Song, Y Hong, ER Kim, SH Kim, I Sohn
337. Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks
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338. Generative adversarial networks for image augmentation in agriculture: a systematic review
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339. Fine-grained large-scale vulnerable communities mapping via satellite imagery and population census using deep learning
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340. Flood detection using real-time image segmentation from unmanned aerial vehicles on edge-computing platform
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341. Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations
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342. Faster R-CNN model learning on synthetic images
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343. Rotation Augmentation for Head Pose Estimation Problem
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344. Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting
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345. Multimodal Approach for DeepFake Detection
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346. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography
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347. Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
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348. Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
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349. Data Augmentations for Cell-Type Generalizable Instance Segmentation
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350. Robust hand tracking for surgical telestration
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351. ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
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352. End-to-end Two-Branch Classifier for Retinal Imaging Analysis
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353. Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks
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354. Cut And Continuous Paste Towards Real-Time Deep Fall Detection
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355. Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures
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356. Remote Sensing Image Captioning with Continuous Output Neural Models
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357. Automated Cardiac Chamber Size and Cardiac Physiology Measurement in Water Fleas by U-Net and Mask RCNN Convolutional Networks
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358. A Survey on Deep Learning for Skin Lesion Segmentation
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359. A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem
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360. Improving Deepfake Video Detection Using Data Augmentation Techniques
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361. TorMentor: Deterministic dynamic-path, data augmentations with fractals
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362. AI-Aided Printed Line Smearing Analysis of the Roll-to-Roll Screen Printing Process for Printed Electronics
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363. What Augmentations are Sensitive to Hyper-Parameters and Why?
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364. HMFS: Hybrid Masking for Few-Shot Segmentation
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365. On-Board Crowd Counting and Density Estimation Using Low Altitude Unmanned Aerial Vehicles—Looking beyond Beating the Benchmark
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366. A First Look at Dataset Bias in License Plate Recognition
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367. SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods
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368. Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA
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369. DBA_SSD: A Novel End-to-End Object Detection Using Deep Attention Module for Helping Smart Device with Vegetable and Fruit Leaf Plant Disease Detection
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370. SimpleCut: A simple and strong 2D model for multi-person pose estimation
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371. Built-in Elastic Transformations for Improved Robustness
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372. Coastline extraction from ALOS-2 satellite SAR images
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373. Smartphone Glass Inspection System.
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374. Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
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375. Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events
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376. Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation
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377. Main areas detection on tennis courts
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378. Tolerant Semantic Segmentation for Aerial Logistics
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379. Ultra Light OCR Competition Technical Report
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380. Evaluating the Performance of Synthetic Visual Data for Real-Time Object Detection
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381. Enhancing the Prediction Accuracy of Solar Power Generation using a Generative Adversarial Network
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382. Development of integrated data augmentation automation tools for deep learning
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383. Integrate YOLOv3 with a Self-attention Mechanism for Underwater Object Detection Based on Forward-looking Sonar Images
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384. Algoritmo de clasificación de lesiones en exámenes mamográficos
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385. Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net
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386. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
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387. Facial recognition as a tool to identify Roman emperors: towards a new methodology
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388. Assessing the Feasibility and Performance of Real-Time Semantic Segmentation in an Industrial IoT use case
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389. Attention-based Interpretability with Concept Transformers
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390. IRT-GAN: A generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography
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391. SBDF-Net: A versatile dual-branch fusion network for medical image segmentation
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392. Evaluating generic AutoML tools for computational pathology
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393. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation
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394. Automated Quantification of Occupant Posture and Shoulder Belt Fit Using Safety Specific Key Points
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395. Panoptic Segmentation of Animal Fibers
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396. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus
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397. Geometric Computer Vision Techniques for Scene Reconstruction
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398. Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)
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399. Detecting COVID-19 Opacity in X-ray Images Using YOLO and RetinaNet Ensemble
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400. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …
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401. Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia
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402. Comparison of Segmentation Methods in Analysis of MR and CT Images of Pediatric Spine
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403. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
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404. Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
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405. Artificially Intelligent Food Assistant for the Visually Impaired
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406. Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma
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407. A scalable open-source framework for machine learning based image collection, annotation and classification: a case study for automatic fish species identification
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408. Localized Randomized Smoothing for Collective Robustness Certification
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409. Automatická detekce pózy člověka pomocí neuronových sítí
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410. Instance Segmentation of Handwritten Text On Historical Document Images Using Deep Learning Approaches
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411. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
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412. Re-Identificação de veículos em uma rede de câmeras não sobrepostas
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413. TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
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414. Synergy of unsupervised and supervised machine learning methods for the segmentation of the graphite particles in the microstructure of ductile iron
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415. Photovoltaics Plant Fault Detection Using Deep Learning Techniques
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416. Body Part Regression for CT Images
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417. Systém sledování očních pohybů založený na neuronových sítích
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418. Segmentation of Polyp Instruments using UNet based deep learning model
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419. A Battery-Powered Friend: Towards Embedded Emotion Recognition
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420. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
- Α Κωστόπουλος
421. Identificación de etiquetas en líneas de manufactura
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422. An Image Augmentation Method Based on Limited Samples for Object Tracking Based on Mobile Platform
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423. Analysis of medical images using deep learning
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424. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors
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425. Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging
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426. ECCV 2022 Seasons in Drift Challenge Fact sheet
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427. A comparative study between vision transformers and CNNs in digital pathology
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428. Obstacle Detection for BVLOS Drones
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429. FINet: An Insulator Dataset and Detection Benchmark Based on Synthetic Fog and Improved YOLOv5
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430. Training An Embedded Object Detector For Industrial Settings Without Real Images
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431. МЯГКИЕ ИЗМЕРЕНИЯ И ВЫЧИСЛЕНИЯ
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432. Adaptive Domain Generalization for Digital Pathology Images
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433. Synthetic Data Generation for the Development of 2D Gel Electrophoresis Protein Spot Models
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434. Deepfake Detection/Author Martin Schicklgruber, BSc
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435. Swin Transformer for COVID-19 Infection Percentage Estimation from CT-Scans
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436. Change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network
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437. Local Climate Zone Classification Using Multi-Scale Convolutional Neural Networks
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438. Feature pyramid network with self-guided attention refinement module for crack segmentation
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439. A Comparative Study on Performance Improvement for Camouflaged Object Detection
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440. Source Camera Model Identification
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441. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
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442. Extracting text from scanned Arabic books: a large-scale benchmark dataset and a fine-tuned Faster-R-CNN model
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443. MobileNet SSD: étude d'un détecteur d'objets embarquable entraîné sans images réelles
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444. Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
- S Zabihi, E Rahimian, S Sharma, SK Sethi
445. Ridge-following control for agricultural tractors using deep learning and stereo camera
- H Kang, D Seo, B Lee, JG Han, JH Jo
446. Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma
- A Cheng, M Icaza, N Judd, J Smith, S Mukherjee
447. CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound
- R Dan, Y Li, Y Wang, G Jia, R Ge, J Ye, Q Jin
448. Applying computer vision to digitised natural history collections for climate change research: Temperature‐size responses in British butterflies
- RJ Wilson, AF de Siqueira, SJ Brooks
449. Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
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450. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition
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451. 基于编码-解码器架构的光场深度估计方法
- 晏旭， 马帅， 曾凤娇， 郭正华， 伍俊龙， 杨平， 许冰
452. Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
- G Humblot-Renaux, L Marchegiani
453. Differentiable data augmentation with Kornia
- J Shi, E Riba, D Mishkin, F Moreno
454. Robust Molecular Image Recognition: A Graph Generation Approach
- Y Qian, Z Tu, J Guo, CW Coley, R Barzilay
455. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition
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456. Studying deep learning models for manipulated face detection
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457. SCSS-Net: solar corona structures segmentation by deep learning
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458. Augraphy: A Data Augmentation Library for Document Images
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459. Wheat spikes counting using object-level data augmentation
- A Zaji, Z Liu, G Xiao, P Bhowmik
460. Mobile Object Tracking with Siamese Neural Network
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461. Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models
- X Zhang, D Zhang, A Leye, A Scott, L Visser, Z Ge
462. TINYCD: A (NOT SO) DEEP LEARNING MODEL FOR CHANGE
- ACG Lombardi, A Ferrari
463. Assessing household damages using multi-model deep learning pipeline
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464. Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
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465. Multi-view automated chest radiography interpretation
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466. Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images
- YC Wei, WY Huang, CY Jian, CCH Hsu, CC Hsu
467. High-resolution photoacoustic microscopy with deep penetration through learning
- S Cheng, Y Zhou, J Chen, H Li, L Wang, P Lai
468. Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
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469. Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images
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470. MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations
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471. Defect detection in welding radiographic images based on semantic segmentation methods
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472. Underwater Image Enhancement With Reinforcement Learning
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473. What augmentations are sensitive to hyper-parameters and why?
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474. Approach to weld segmentation and defect classification in radiographic images of pipe welds
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475. Data Labeling Impact on Deep Learning Models in Digital Pathology: a Breast Cancer Case Study
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476. Calibrated Selective Classification
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477. Segment Augmentation and Differentiable Ranking for Logo Retrieval
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478. Comparing Non-Bayesian Uncertainty Evaluation Methods in Chromosome Classification by Using Deep Neural Networks
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479. Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset
- T Boston, A Van Dijk, PR Larraondo, R Thackway
480. Fine-Scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs
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481. Chest X-Rays Abnormalities Localization and Classification Using an Ensemble Framework of Deep Convolutional Neural Networks
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482. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas
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483. Deep local directional embeddings para detección de objetos
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484. Artificial colorization of digitized microfilms: a preliminary study
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485. Multilevel feature fusion in digital pathology
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486. Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images
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487. Breast Tumor Cell Nuclei Segmentation in Histopathology Images using EfficientUnet++ and Multi-organ Transfer Learning
- TL Dinh, SG Kwon, SH Lee
488. Semantic segmentation of explosive volcanic plumes through deep learning
- TC Wilkes, TD Pering, AJS McGonigle
489. Depth Estimation of Martian Surface using ISRO's MARS Color Camera Images
- A Khamkar, A Pukale, P Joshi
490. 3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
- MJA Girard, SK Panda, TA Tun, EA Wibroe
491. Object detection in automotive vehicle domain based on real and synthetic data
- R Ilechko
492. Pothole Detection Using Deep Learning and Area Assessment Using Image Manipulation
- S Kharel
493. Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study
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494. Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs
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495. Deepfake detection using neural networks
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496. Data Augmentation Methods For Object Detection and Segmentation In Ultrasound Scans: An Empirical Comparative Study
- SR Brandigampala, AF Al-Battal
497. A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach
- S Tan, X Zhang, H Wang, L Yu, Y Du
498. Estimation of patient's angle from skull radiographs using deep learning
- K Nakazeko, S Kojima, H Watanabe
499. Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
- KTR Voo, L Jiang, CC Loy
500. Esophageal virtual disease landscape using mechanics-informed machine learning
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501. Using X-ray Image Processing Techniques to Improve Pneumonia Diagnosis based on Machine Learning Algorithms
- M Aboghazalah, PM El Kafrawy
502. Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components
- J Du, B Li, X Lu, X Yang, X Guo
503. Image Segmentation Losses with Modules Expressing a Relationship Between Predictions
- P Hurtik, V Molek, H Zámečníková
504. On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning
- D Wagner, F Ferreira, D Stoll, RT Schirrmeister
505. Improving wheat head detection: a data-centric approach by domain variance reduction
- A Lad, MS Raval
506. Forecasting with gradient boosted trees: augmentation, tuning, and cross-validation strategies: Winning solution to the M5 Uncertainty competition
- AD Lainder, RD Wolfinger
507. Netting Damage Detection for Marine Aquaculture Facilities Based on Improved Mask R-CNN
- Z Zhang, F Gui, X Qu, D Feng
508. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
- A Zhuk, S Ablameyko
509. From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation
- M Yeung, T Watts, G Yang
510. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
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511. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision.
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512. Plant and Animal Species Prediction at Certain Locations with Convolutional Neural Networks
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513. GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification
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514. Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors
- SD Verboom, M Caballo, MJM Broeders
515. CATs++: Boosting Cost Aggregation with Convolutions and Transformers
- S Cho, S Hong, S Kim
516. Investigation of Methods for Increasing the Efficiency of Convolutional Neural Networks in Identifying Tennis Players
- NA Andriyanov, VE Dementev, KK Vasiliev
517. Season-invariant GNSS-denied visual localization for UAVs
- J Kinnari, F Verdoja, V Kyrki
518. End-to-end Multiple Instance Learning with Gradient Accumulation
- A Andersson, N Koriakina, N Sladoje
519. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus
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520. Using Neural Encoder-Decoder Models With Continuous Outputs for Remote Sensing Image Captioning
- R Ramos, B Martins
521. Autonomous unmanned aerial vehicles and deep learning-based damage detection
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522. Anomaly Detection for In situ Marine Plankton Images
- Y Pu, Z Feng, Z Wang, Z Yang
523. A generalized framework for recognition of expiration dates on product packages using fully convolutional networks
- AC Seker, SC Ahn
524. The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
- KA Laube
525. Exemplar-guided low-light image enhancement
- Y Shi, X Wu, B Wang, M Zhu
526. An interactive system for muscle and fat tissue identification of the lumbar spine using semantic segmentation
- R Bieck, D Baur, J Berger, T Stelzner
527. Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale
- S Illarionova, D Shadrin, V Ignatiev, S Shayakhmetov
528. Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution
- H Carvalho, P Zaykov, A Ukaye
529. A novel ground truth multispectral image dataset with weight, anthocyanins, and Brix index measures of grape berries tested for its utility in machine learning pipelines
- PJ Navarro, L Miller, MV Díaz-Galián
530. An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5
- D Canedo, P Fonseca, P Georgieva
531. Autonomous Coordinated Control of the Light Guide for Positioning in Vitreoretinal Surgery
- Y Koyama, MM Marinho, M Mitsuishi
532. GreedyCenters: Satellite imagery adaptive sampling method for artificial neural networks training
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533. Model Faster R-CNN uczony na syntetycznych obrazach
- B Łach, E Łukasik
534. Analyzing Deep Learning Models' Generalization Ability Under Different Augmentations on Deepfake Datasets
- I Huseynli, S Varli
535. The Self-Supervised Spectral–Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery
- X Zhang, L Han, T Sobeih, L Lappin, MA Lee
536. LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation
- NPA Duong, A Almin, L Lemarié, BR Kiran
537. Data Augmentation for JPEG Steganalysis
- T Itzhaki, Y Yousfi, J Fridrich
538. PRNet: Progressive Resolution based Network for Radiograph based disease classification
- S Ahmed, H bin Atif, MB Shabbir
539. A Robust System to Detect and Explain Public Mask Wearing Behavior
- A Gupta, B Srivastava
540. Waste detection in Pomerania: non-profit project for detecting waste in environment
- S Majchrowska, A Mikołajczyk, M Ferlin
541. Photovoltaics Plant Fault Detection Using Deep Learning Techniques. Remote Sens. 2022, 14, 3728
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542. Augmentation Method for anti-vibration hammer on power transimission line based on CycleGAN
- Y Tian, Y Chen, W Diming, Y Shaoguang
543. Application of one-stage instance segmentation with weather conditions in surveillance cameras at construction sites
- KS Kang, YW Cho, KH Jin, YB Kim, HG Ryu
544. Local climate zone classification using a multi-scale, multi-level attention network
- M Kim, D Jeong, Y Kim
545. ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
- J Li, C Wang, B Huang, Z Zhou
546. Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image Segmentation
- A Lad, S Jani, H Madhani, S Soumya
547. Data Augmentations for Document Images.
- Y Lee, T Hong, S Kim
548. Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device …
- A Lad, A Narayan, H Shankar, S Jain
549. Systematic investigation of Basic Data Augmentation Strategies on Histopathology Images
- J Annuscheit, B Voigt, O Fischer, P Baumann
550. Satellite Image Segmentation of Gold Exploration Areas in the Amazon Rainforest Using U-Net
- JMC Boaro, PTC dos Santos, A Serra
551. Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning
- L Mares, S Podgorski, I Reid
552. The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images
- SP Mohanty, G Singhal, EA Scuccimarra
553. Improving CNN roof segment detection by dataset extension using 3D city models
- F Faltermeier
554. Semantic Segmentation of Iron Ore Pellets in the Cloud
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555. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS
- R HAMDI, C BOUVIER, T DELZESCAUX
556. Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head …
- S Kyung, K Shin, H Jeong, KD Kim, J Park, K Cho
557. Multi-Label Retinal Disease Classification using Transformers
- MA Rodriguez, H AlMarzouqi, P Liatsis
558. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
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559. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
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560. Reducing redundancy in Semantic-KITTI: Study on data augmentations within Active Learning
- NPA Duong, A Almin, L Lemarié, BR Kiran
561. Treinando Rede Neural Profunda com Divisão Proporcional de Imagens para Segmentação de Estruturas da Retina
- PVA Fonseca, AC Araújo, JDS de Almeida
562. Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
- K Najafian, A Ghanbari, MS Kish, M Eramian
563. A Review of Remote Sensing Applications on Very High-Resolution Imagery Using Deep Learning-Based Semantic Segmentation Techniques
- P Borba, E de Souza Bias, NC da Silva
564. Deep Learning for Image Steganography and Steganalysis Challenges, Advances, and Opportunities
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565. Considering multiple failure modes: A comparison of probabilistic analysis and multi-modal optimization for a 3D slope stability case stud y
- B Cami, T Ma, S Javankhoshdel, T Yacoub
566. Indirect Volume Estimation for Acute Ischemic Stroke from Diffusion Weighted Image Using Slice Image Segmentation
- SA Lee, JW Jang, SW Park, PJ Kim, NY Yeo
567. Towards Explainable Person Re-Identification
- D Goyal, N Patel, T Truong
568. Detection and prediction of hypothermia in ICUs using thermal images
- M Wason, T Sethi
569. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
- A Babolhavaeji, M Fanaei
570. 机器视觉应用中的图像数据增广综述
- 林成创， 单纯， 赵淦森， 杨志荣， 彭璟， 陈少洁
571. CASS Studies
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572. Multiple flying bird and bird keypoint detection toolbox for processing bird videos
- A Delhez, R Ronsse
573. Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives
- K Alrfou, A Kordijazi, T Zhao
574. Cell Nuclei Segmentation in Cryonuseg dataset using Nested Unet with EfficientNet Encoder
- T Le Dinh, SH Lee, SG Kwon
575. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
- MA Ottom, HA Rahman, ID Dinov
576. Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot …
- L Bloch, R Brüngel, CM Friedrich
577. TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics
- J Pocock, S Graham, QD Vu, M Jahanifar
578. A spatial AI-based agricultural robotic platform for collision avoidance and disease detection in crops
- S Gunturu
579. 改进 U-Net3+ 与跨模态注意力块的医学图像融合
- 王丽芳， 米嘉， 秦品乐， 蔺素珍， 高媛， 刘阳
580. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
- LM Ellefsen
581. TINYCD: A (Not So) Deep Learning Model For Change Detection
- A Codegoni, G Lombardi, A Ferrari
582. Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
- X Xu, Z Chen, D Xu, H Zhou, S Yu, S Zheng
583. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- FVM Perez
584. Bengali Handwritten Grapheme Recognition Using CutMix-Based Data Augmentation
- Z Zhang
585. A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
- F Maleki, K Cote, K Najafian, K Ovens, Y Miao
586. Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
- N Koriakina, N Sladoje, V Bašić, J Lindblad
587. Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification
- F Li, S Li, X Fan, X Li, H Chang
588. Domain Adaptation for Multi-Organ Nuclei Segmentation
- H Jung, GT Brown, Y Liu
589. Fiche de confidentialité et de diffusion du mémoire
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590. Improving Adversarial Robustness with Data-Centric Learning
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591. Transformers for breast cancer classification
- J Lindroos
592. ForgeryNet--Face Forgery Analysis Challenge 2021: Methods and Results
- Y He, L Sheng, J Shao, Z Liu, Z Zou, Z Guo
593. ПРИМЕНЕНИЕ АУГМЕНТАЦИИ ДЛЯ УЛУЧШЕНИЯ КАЧЕСТВА КЛАССИФИКАЦИИ
- ДЮ Афанасьев
594. On-line hazard detection on lunar digital elevation maps using semantic segmentation
- R Moghe, R Zanetti
595. Capturing Model Uncertainty with Data Augmentation in Deep Learning
- W Jiang, Y Zhao, Y Wu, H Zuo
596. Battery Pack Part Detection and Disassembly Verification Using Computer Vision
- J Rehnholm
597. Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms
- MP Schilling, S Schmelzer, JEU Gómez
598. A Visual-Range Cloud Cover Image Dataset for Deep Learning Models
- M Umair, MA Hashmani
599. Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
- JM Park, UH Kim, SH Lee
600. Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks
- B Oliveira, HR Torres, P Morais
601. Deep Learning Based Crop Row Detection
- RM Doha
602. Pre-trained Backbones Effect on Nuclei Segmentation Performance
- C Maarouf, ML Benomar, N Settouti
603. Supplementary Materials for “End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI”
- G Holste, SC Partridge, H Rahbar, D Biswas, CI Lee
604. Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects
- T Truong, S Yanushkevich
605. A deep learning pipeline for breast cancer ki-67 proliferation index scoring
- K Benaggoune, ZA Masry, J Ma, C Devalland
606. Evaluating the application of a computer vision model in the customer service chatbot of an electric utility
- FAR Finardi, GM De Holanda
607. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy
- W Chen, B Fan
608. Data Augmentation for Building Footprint Segmentation in SAR Images: An Empirical Study
- S Wangiyana, P Samczyński, A Gromek
609. Spatial-Net for Human-Object Interaction Detection
- AE Mansour, A Mohammed, HAEA Elsayed
610. Task-Driven Data Augmentation for Vision-Based Robotic Control
- S Agarwal, SP Chinchali
611. Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs
- HM Sarhan, H Ali, E Ehab, S Selim, M Elattar
612. Towards a framework for the democratisation of deep semantic segmentation models
- E Rubén, J Heras
613. Balanced Masked and Standard Face Recognition
- D Qi, K Hu, W Tan, Q Yao, J Liu
614. A multi-modal approach to forensic audio-visual device identification
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615. FilterNet: Self-Supervised Learning for High-Resolution Photo Enhancement
- PM Cuenca-Jiménez, J Fernández-Conde
616. Generative augmentation to improve lung nodules detection in resource-limited settings
- NF Gusarova, AP Klochkov, AA Lobantsev
617. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- AY Wagh
618. Comparison of the MultiRes U-Net and the classical U-Net on the performance of kidney and kidney tumor segmentation
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619. Automatic Detection of Underground Objects in Ground Penetrating Radar Images using Machine Learning
- LC Martoni Amaral
620. Improving Machine Learning Approaches to Seismic Fault Imaging Through Training Augmentation
- P Norlund, F Jiang
621. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
- VTT Vi, AR Oh, GS Lee, HJ Yang, SH Kim
622. A CNN-based detector for video frame-rate interpolation
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623. Automatic Snake Classification using Deep Learning Algorithm.
- L Kalinathan, P Balasundaram, P Ganesh
624. xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Imagery
- F Paolo, TT Lin, R Gupta, B Goodman, N Patel
625. An Empirical Study of Vision Transformers for Cervical Precancer Detection
- S Angara, P Guo, Z Xue, S Antani
626. Targeting the zebrafish eye using deep learning-based image segmentation
- J Holmberg
627. Weakly-Supervised Crack Detection
- Y Inoue, H Nagayoshi
628. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
- A Zhuchkov, D Prokhorov, V Gusev
629. A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
- HA Shah, F Saeed, S Yun, JH Park, A Paul
630. Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
- F Maleki, K Ovens, R Gupta, C Reinhold
631. Probabilistic deep learning methods for capturing uncertainty in SAR-based water segmentation maps
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632. Classification of chest x-ray images using machine learning techniques
- A Ahmed, G Tharwat, B Bouallegue, M Khattab
633. Deep Learning-based Object Understanding for Robotic Manipulation
- JS Moon, HJ Jo, JB Song
634. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
- Y Inoue
635. Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study
- E Bandari, T Beuzen, L Habashy, J Raza
636. Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures
- O Güley, S Pati, S Bakas
637. Intracranial hemorrhage subtype classification using learned fully connected separable convolutional network
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638. Towards Rotation Invariance in Object Detection
- A Kalra, G Stoppi, B Brown
639. Recognition Recipes with Deep Machine Learning
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640. Brain tumor classification on the patient level using attention-based AI methods and multi-sequences MRI
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641. Segmentation of Polyps in Gastrointestinal Tract Images
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642. Exploration of learning techniques to improve the spatial resolution of orthoimages
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643. Deep Learning object detection architectures in ADAS
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644. Maskeli unas, R.; Misra, S. Few-Shot Learning with a Novel Voronoi Tessellation-Based Image Augmentation Method for Facial Palsy Detection
- OO Abayomi-Alli, R Damaševicius
645. Deep Learning Pipeline for Chromosome Segmentation
- K Pijackova, T Gotthans
646. Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
- P Fraccaro, N Stoyanov, Z Gaffoor, LEC La Rosa
647. Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
- F Hardalaç, F Uysal, O Peker, M Çiçeklidağ, T Tolunay
648. NoGAN: Deblurring Images without Adversarial Training
- R Vei
649. ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition
- J Kimata, T Nitta, T Tamaki
650. Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
- HC Chen, SS Tzeng, YC Hsiao, RF Chen
651. Multi-Stream Deep Convolutional Neural Network for PET Preform Surface Defects Detection and Classification
- T Zhang, C Duan
652. A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification
- Z Cheng, G Huo, H Li
653. deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques
- I Sa, JY Lim, HS Ahn, B MacDonald
654. A Self-Supervised Contrastive Learning Approach for Whole Slide Image Representation in Digital Pathology
- P Ashrafi Fashi
655. Machine learning of fake micrographs for automated analysis of crystal growth process
- T Ishiyama, T Imajo, T Suemasu
656. Image Segmentation of Adenovirus Particles in Food Vacuoles of Eukaryotic Organisms
- K Fu, R Zhou, S Li
657. Ensemble Deep Learning for Human-Object Interaction Detection
- AE Mansour, A Mohammed
658. GAN-based Defect Image Generation for Imbalanced Defect Classification of OLED panels
- Y Jeon, H Kim, H Lee, S Jo, J Kim
659. Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism
- J Xi, J Chen, Z Wang, D Ta, B Lu, X Deng
660. Context-Unsupervised Adversarial Network for Video Sensors
- G Canet Tarrés, M Pardàs
661. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS
- K Vishnyakov, M Organokov
662. Multi-Axis 3D Printing Defect Detecting by Machine Vision with Convolutional Neural Networks
- H Zhang, Z Zong, Y Yao, Q Hu, M Aburaia
663. Woodscape Fisheye Object Detection for Autonomous Driving--CVPR 2022 OmniCV Workshop Challenge
- S Ramachandran, G Sistu, VR Kumar
664. An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology
- I Bolon, L Picek, AM Durso, G Alcoba
665. Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks
- HR Choi, TS Siadari, JE Kim, KH Huh
666. Spectral decoupling for training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
667. GAFL: Global adaptive filtering layer for computer vision
- V Shipitsin, I Bespalov, DV Dylov
668. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms
- P Miralles Roure
669. Data Augmentation with Illumination Correction in Sematic Segmentation
- H Liu, C Wang, Y Peng
670. Helping Biologists Find Whales: AI-in-the-Loop Support for Environmental Dataset Creation
- M Gheibi
671. Test Time Augmentation for Cross-lingual Text Classification
- A Zhyvalkouski, SH Nobesawa
672. Tyche at Factify 2022: Fusion Networks for Multi-Modal Fact-Checking
- N Hulke, BR Siva, A Raj, AA Saifee
673. Human Object Ownership Tracking in Autonomous Retail
- JDLDM Falcão
674. An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet
- G Marques, A Ferreras, I de la Torre-Diez
675. Document Recapture Detection Based on a Unified Distortion Model of Halftone Cells
- Z Hu, C Chen, WH Mow, J Huang
676. Predicting biochemical recurrence of prostate cancer with artificial intelligence
- H Pinckaers, J van Ipenburg, J Melamed
677. Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensities in Different Datasets of Brain MRI
- R Maulana, MF Rachmadi
678. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images
- VS Samun, AS Sheka, TV Chumarnaya
679. ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
- N Ghamsarian, M Taschwer
680. Exposing DeepFakes using Siamese Training
- C Nehate, P Dalia, S Naik
681. Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection
- Z Zhang, S Zhong, A Fares, Y Liu
682. Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep Learning Model from Remote Sensing Images
- Z Zou, C Chen, Z Liu, Z Zhang, J Liang, H Chen
683. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
- Q Liu, M Kampffmeyer, R Jenssen
684. Deep Learning Classification Experiments on the Texas Colorado River Delta
- L Su, J Gibeaut, J Magolan
685. Classifying Sounds in Polyphonic Urban Sound Scenes
- J Abeßer
686. A self-supervised learning approach for astronomical images
- ACRC Martinazzo
687. Region-Based Split Octonion Networks with Channel Attention Module for Tuna Classification
- JA Jose, CS Kumar, S Sureshkumar
688. Using deep learning for food recognition
- L Zhu
689. Core box image recognition and its improvement with a new augmentation technique
- EE Baraboshkin, AE Demidov, DM Orlov
690. Cost Aggregation Is All You Need for Few-Shot Segmentation
- S Hong, S Cho, J Nam, S Kim
691. Распознавание отражающих горизонтов с помощью сверточной нейронной сети
- АЭ Грибуль, АИ Ненюкова, ВЛ Рыжов
692. Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
- DJ Ho, MH Chui, CM Vanderbilt, J Jung
693. Object Detection Frameworks for Real-Time, Scale-Invariant Face Mask Detection
- LPB Facun, MJC Baculo, MF Libao
694. Rubik's Cube layout construction and validation algorithm
- B Borkivskyi
695. Bag of Tricks for Training Brain-Like Deep Neural Networks
- A Riedel
696. A multi-category intelligent method for the evaluation of visual comfort in underground space
- B Zhou, Y Gui, X Xie, W Li, Q Li
697. Automated Annotation of in Vitro Fertilization Time-Lapse Using Deep Neural Network
- CM Louis, A Erwin, M Galinium
698. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
- C Yaras, B Huang, K Bradbury, JM Malof
699. Brachial Plexus Nerve Trunk Recognition From Ultrasound Images: A Comparative Study of Deep Learning Models
- D Tian, B Zhu, J Wang, L Kong, B Gao, Y Wang
700. Segmentation of Polyp Instruments using UNet based deep learning model
- A Mirza, RK Rajak
701. Weakly-supervised individual human cell classification
- D Kolinko
702. Variational Beam Search for Learning with Distribution Shifts
- A Li, A Boyd, P Smyth, S Mandt
703. Joint Track Machine Learning: An autonomous method for measuring 6DOF TKA kinematics from single-plane x-ray images
- A Jensen, P Flood, L Palm-Vlasak, W Burton
704. Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation
- FL Jacobsen, SA Hicks, P Halvorsen
705. Estudio del uso de redes neuronales 3D para el desarrollo de sistemas inteligentes para la colonoscopia
- M Tena Morales
706. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
707. Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology
- S Yi, Z Yang, L Zhou, S Zou, H Xie
708. DOCTEUR EN INFORMATIQUE
- C DOUARRE
709. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning
- CCG Sarasa, JDO Pabón
710. Spectral decoupling allows training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
711. Potholes Detection Using Deep Learning and Area Estimation Using Image Processing
- S Kharel, KR Ahmed
712. Digital tongue image analyses for health assessment
- J Xie, C Jing, Z Zhang, J Xu, Y Duan, D Xu
713. HAGDAVS: Height-Augmented Geo-Located Dataset for Detection and Semantic Segmentation of Vehicles in Drone Aerial Orthomosaics
- JR Ballesteros, G Sanchez-Torres, JW Branch-Bedoya
714. Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM
- MI Patel, S Singla, RAA Mattathodi
715. Real-Time Image Registration via A Deep Leaning Approach for Correlative X-ray and Electron Microscopy
- Y Luo, N Zaluzec, M Cherukara, X Wu
716. Deep Neural Networks for Weed Detections Towards Precision Weeding
- A Rahman, Y Lu, H Wang
717. Orthotic Prescription for Pediatric Flexible Flat Feet using Convolutional Neural Networks
- SKR Donthireddy, JH Suh
718. Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting
- HR Torres, B Oliveira, PR Morais
719. Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey
- B Zhou, X Yang, WJ Curran, T Liu
720. Data Driven Style Transfer for Remote Sensing Applications
- EA Stump
721. Leveraging High-Frequency Components for Deepfake Detection
- N Mejri, K Papadopoulos
722. Automatic kidney segmentation using 2.5 D ResUNet and 2.5 D DenseUNet for malignant potential analysis in complex renal cyst based on CT images
- P Kittipongdaja, T Siriborvornratanakul
723. An Impact of Data Augmentation Techniques on the Robustness of CNNs
- K Szyc
724. Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation
- W He, M Liu, Y Tang, Q Liu
725. Image-based Stroke Assessment for Multi-site Preclinical Evaluation of Cerebroprotectants
- RP Cabeen, J Mandeville, F Hyder
726. Automated region split algorithm with pre-trained CNN model for tuna classification
- JA Jose, CS Kumar
727. Focused Attention in Transformers for interpretable classification of retinal images
- C Playout, R Duval, MC Boucher, F Cheriet
728. Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool
- PJ Pickhardt, T Nguyen, AA Perez, PM Graffy
729. Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
- N Marini, S Marchesin, S Otálora, M Wodzinski
730. Video monitoring over anti-decubitus protocol execution with a deep neural network to prevent pressure ulcer
- I Danilovich, V Moshkin, A Reimche
731. Image-Based Wheat Fungi Diseases Identification by Deep Learning. Plants 2021, 10, 1500
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova
732. Detection and Counting Method of Pigs Based on YOLOV5_Plus: A Combination of YOLOV5 and Attention Mechanism
- Z Zhou
733. Normal hatching rate estimation for bulk samples of Pacific bluefin tuna (Thunnus orientalis) eggs using deep learning
- N Ienaga, K Higuchi, T Takashi, K Gen
734. Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke
- BJ Mittmann, M Braun, F Runck, B Schmitz
735. Semantic Segmentation (U-Net) of Archaeological Features in Airborne Laser Scanning—Example of the Białowieża Forest
- PZ Banasiak, PL Berezowski, R Zapłata, M Mielcarek
736. Transformer-Based Deep Monocular Visual Odometry for Edge Devices
- A Klochkov, I Drokin
737. Observations and Geoinformation
- T Tampuu, J Praks, A Kull, R Uiboupin, T Tamm
738. Learning an augmentation strategy for sparse datasets
- RB Arantes, G Vogiatzis, DR Faria
739. Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism
- PK Buttar, MK Sachan
740. SAU-NET: Scale Aware Polyp Segmentation using Encoder-Decoder Network
- A Gautam, S Das, P Sharma, P Maji
741. Online Monitoring of Object Detection Performance During Deployment
- QM Rahman, N Sünderhauf
742. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH
- R HAMDI, C Bouvier, T Delzescaux, C Clouchoux
743. Self-Supervised Learning for Fine-Grained Image Classification
- FA Breiki, M Ridzuan, R Grandhe
744. Deep Image Denoising with Adaptive Priors
- B Jiang, Y Lu, J Wang, G Lu
745. Learning from few examples: Classifying sex from retinal images via deep learning
- A Berk, G Ozturan, P Delavari, D Maberley
746. 딥러닝을 활용한 감자 수확량 모니터링 시스템 설계
- 장성혁， 이상희， 최용， 김태형， 신소영
747. Automatic lesion boundary detection in dermoscopy
- G Kechyn
748. Detecting Deepfakes with Self-Blended Images
- K Shiohara, T Yamasaki
749. xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
- F Paolo, TT Lin, R Gupta, B Goodman, N Patel
750. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
- T Nickchen, S Heindorf
751. 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound
- C Dacho, D Gabauer, D Brunner
752. Image-Based Analysis of Dense Particle Mixtures via Mask R-CNN
- M Frei, FE Kruis
753. FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
- V Borsuk, R Vei, O Kupyn, T Martyniuk
754. A self-supervised contrastive learning approach for whole slide image representation in digital pathology
- PA Fashi, S Hemati, M Babaie, R Gonzalez
755. ChaLearn LAP Seasons in Drift Challenge: Dataset, Design and Results
- AS Johansen, JCSJ Junior, K Nasrollahi
756. Data Augmentation for Tomato Detection and Pose Estimation
- M Jang, Y Hwang
757. Effectiveness of Data Augmentation in Multi-class Face Recognition
- P Rahmatullah, TF Abidin
758. Efficient Super-Resolution For Chest X-rays
- KS Krishnan, KS Krishnan
759. Segmentación objeto-fondo mediante redes convolucionales
- R Arcos Serrano
760. Unifying Evaluation of Machine Learning Safety Monitors
- J Guerin, RS Ferreira, K Delmas, J Guiochet
761. Supplementary Material: Automated Detection and Classifica-tion of Oral Lesions Using Deep Learning to Detect Oral Poten-tially Malignant Disorders
- G Tanriver, MS Tekkesin, O Ergen
762. Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning
- Z Lin, R Fu, G Ren, R Zhong, Y Ying
763. Advanced-ExtremeNet: Combined with Depthwise Separable Convolution for the Detection of Steel Bars
- S Pang, X Liu, S Mao, H Jia, B Liu
764. Background-Foreground Segmentation for Interior Sensing in Automotive Industry
- C Drygala, M Rottmann, H Gottschalk
765. Semantic drift prediction for class incremental deep metric learning
- KA Nugroho, SJ Ruan
766. Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models
- A Joshi, D Guevara, M Earles
767. Small Drone Detection with Image Tiling in Counter Autonomous System Context
- G Gagnéa, JP Mercierb, V Paquinb, Y DeVillersa
768. Attentive Manifold Mixup for Model Robustness
- Z Zhou, J Yang
769. World robot challenge 2020–partner robot: a data-driven approach for room tidying with mobile manipulator
- T Matsushima, Y Noguchi, J Arima, T Aoki
770. SynFace: Face Recognition with Synthetic Data (Supplementary Materials)
- H Qiu, B Yu, D Gong, Z Li, W Liu, D Tao
771. Wind speed estimation using novelty hybrid adaptive estimation model based on decomposition and deep learning methods (ICEEMDAN-CNN)
- C Emeksiz, M Tan
772. OCR-based Inventory Management Algorithms Robust to Damaged Images
- M Seo, D Kim, H Kang, D Cho
773. Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation …
- KH Chen, CY Yang, HY Wang, HL Ma, OKS Lee
774. Comparative study of xAI layer-wise algorithms with a Robust Recommendation framework of Inductive Clustering for Polyp Segmentation and Classification
- SM Javali, RS Upadhyayula
775. Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning
- SAH Tabatabaei, P Fischer, S Wattendorf
776. An Experimental Study of Semantic Continuity for Deep Learning Models
- S Wu, J Sang, X Zhao, L Chen
777. A Novel Deep Learning Model for Sea State Classification Using Visual-Range Sea Images
- M Umair, MA Hashmani, SS Hussain Rizvi, H Taib
778. Weighted average ensemble-based semantic segmentation in biological electron microscopy images
- K Shaga Devan, HA Kestler, C Read
779. Automatic phantom test pattern classification through transfer learning with deep neural networks
- RB Fricks, J Solomon, E Samei
780. Использование аугументаций при сегментации зданий на спутниковых снимках с помощью нейронной сети U-NET
- АО Жук, СВ Абламейко
781. Improving Semi-Supervised Learning for Audio Classification with FixMatch. Electronics 2021, 10, 1807
- S Grollmisch, E Cano
782. Forensic Analysis of Synthetically Generated Western Blot Images
- S Mandelli, D Cozzolino, ED Cannas
783. CATKit: a Color and Thermal Computer Vision toolKit and Benchmark for Cross-Modal Similarity and Semantic Segmentation
- WR Treible
784. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches
- YV Fedotova, RUI Epifanov, AA Karpenko
785. Self Supervised Learning for Object Localisation in 3D Tomographic Images
- Y Zharov, A Ershov, T Baumbach
786. DeepFake detection algorithm based on improved vision transformer
- YJ Heo, WH Yeo, BG Kim
787. Measurement of hybrid rocket solid fuel regression rate for a slab burner using deep learning
- G Surina III, G Georgalis, SS Aphale, A Patra

Machine learning competitions

Deepfake Detection Challenge
solution
code
1st place
Platform: Kaggle
Deepfake Detection Challenge
solution
code
3rd place
Platform: Kaggle
Deepfake Detection Challenge
solution
code
5th place
Platform: Kaggle
Deepfake Detection Challenge
solution
code
12th place
Platform: Kaggle
Prostate cANcer graDe Assessment (PANDA) Challenge
solution
2nd place
Platform: Kaggle
Prostate cANcer graDe Assessment (PANDA) Challenge
solution
code
3rd place
Platform: Kaggle
Prostate cANcer graDe Assessment (PANDA) Challenge
solution
code
6th place
Platform: Kaggle
Prostate cANcer graDe Assessment (PANDA) Challenge
solution
code
8th place
Platform: Kaggle
Prostate cANcer graDe Assessment (PANDA) Challenge
solution
11th place
Platform: Kaggle
Peking University/Baidu - Autonomous Driving
solution
2nd place
Platform: Kaggle
Peking University/Baidu - Autonomous Driving
solution
code
5th place
Platform: Kaggle
Peking University/Baidu - Autonomous Driving
solution
code
7th place
Platform: Kaggle
Bengali.AI Handwritten Grapheme Classification
solution
1st place
Platform: Kaggle
Bengali.AI Handwritten Grapheme Classification
solution
8th place
Platform: Kaggle
Bengali.AI Handwritten Grapheme Classification
solution
code
10th place
Platform: Kaggle
RSNA Intracranial Hemorrhage Detection
solution
code
1st place
Platform: Kaggle
RSNA Intracranial Hemorrhage Detection
solution
code
2nd place
Platform: Kaggle
RSNA Intracranial Hemorrhage Detection
solution
code
4th place
Platform: Kaggle
RSNA Intracranial Hemorrhage Detection
solution
code
8th place
Platform: Kaggle
RSNA Intracranial Hemorrhage Detection
solution
code
10th place
Platform: Kaggle
RSNA Intracranial Hemorrhage Detection
solution
code
11th place
Platform: Kaggle
Severstal: Steel Defect Detection
solution
code
1st place
Platform: Kaggle
Severstal: Steel Defect Detection
solution
10th place
Platform: Kaggle
Severstal: Steel Defect Detection
solution
12th place
Platform: Kaggle
Severstal: Steel Defect Detection
solution
14th place
Platform: Kaggle
Understanding Clouds from Satellite Images
solution
code
1st place
Platform: Kaggle
Understanding Clouds from Satellite Images
solution
2nd place
Platform: Kaggle
Understanding Clouds from Satellite Images
solution
5th place
Platform: Kaggle
Understanding Clouds from Satellite Images
solution
10th place
Platform: Kaggle
Kuzushiji Recognition
solution
code
2nd place
Platform: Kaggle
Kuzushiji Recognition
solution
code
4th place
Platform: Kaggle
Kuzushiji Recognition
solution
code
5th place
Platform: Kaggle
Kuzushiji Recognition
solution
code
8th place
Platform: Kaggle
Kuzushiji Recognition
solution
code
9th place
Platform: Kaggle
APTOS 2019 Blindness Detection
solution
2nd place
Platform: Kaggle
APTOS 2019 Blindness Detection
solution
code
7th place
Platform: Kaggle
APTOS 2019 Blindness Detection
solution
9th place
Platform: Kaggle
Recursion Cellular Image Classification
solution
code
4th place
Platform: Kaggle
Recursion Cellular Image Classification
solution
7th place
Platform: Kaggle
Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience
code
1st place
Platform: DrivenData
Urban Sound Tagging
code
1st place
Platform: DCASE
xView2 Damage Assessment Challenge
code
3rd place
Platform: xView2
Carvana Image Masking Challenge
solution
1st place
Platform: Kaggle
Data Science Bowl 2018
solution
1st place
Platform: Kaggle
Humpback Whale Identification
blog post
code
5th place
Platform: Kaggle
TGS Salt Identification Challenge
solution
code
pre-print
1st place
Platform: Kaggle
TGS Salt Identification Challenge
blog post
code
pre-print
27th place
Platform: Kaggle
APTOS 2019 Blindness Detection
solution
code
7th place
Platform: Kaggle
APTOS 2019 Blindness Detection
solution
code
76th place
Platform: Kaggle
SIIM-ACR Pneumothorax Segmentation
solution
code
video
presentation
1st place
Platform: Kaggle
SIIM-ACR Pneumothorax Segmentation
solution
code
4th place
Platform: Kaggle
SIIM-ACR Pneumothorax Segmentation
solution
33rd place
Platform: Kaggle
SIIM-ACR Pneumothorax Segmentation
code and solution
50th place
Platform: Kaggle
iMaterialist (Fashion) 2019 at FGVC6
solution
code
1st place
Platform: Kaggle
Google Landmark Recognition 2019
solution
code
20th place
Platform: Kaggle
Inclusive Images Challenge
solution
3rd place
Platform: Kaggle
Airbus Ship Detection Challenge
paper
30th place
Platform: Kaggle
Neptune - Facial Detection Marathon Match
solution
2nd place
Platform: Topcoder
Neptune - Facial Re-Identification Marathon Match
solution
2nd place
Platform: Topcoder
SpaceNet Challenge Round 4: Off-Nadir Buildings
solution
3rd place
Platform: Topcoder
DeepGlobe: Road Extraction
paper
2nd place
Platform: CVPR
Deepglobe: Building detection
paper
2nd place
Platform: CVPR
Deepglobe: Land Cover Classification
paper
3rd place
Platform: CVPR
Robotic Instrument Segmentation
paper
pre-print from organizers
1st place
Platform: MICCAI
GIANA: Angiodysplasia localization
paper
1st place
Platform: MICCAI

Open source projects

open-mmlab/mmdetection 25.6k
OpenMMLab Detection Toolbox and Benchmark
spmallick/learnopencv 19.3k
Learn OpenCV : C++ and Python Examples
deepinsight/insightface 18.2k
State-of-the-art 2D and 3D Face Analysis Project
PaddlePaddle/PaddleSeg 7.6k
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
saic-mdal/lama 6.2k
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
lukas-blecher/LaTeX-OCR 4.9k
pix2tex: Using a ViT to convert images of equations into LaTeX code.
pytorch/ignite 4.3k
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
open-mmlab/mmpose 4.0k
OpenMMLab Pose Estimation Toolbox and Benchmark.
NVlabs/imaginaire 3.9k
NVIDIA's Deep Imagination Team's PyTorch Library
catalyst-team/catalyst 3.2k
Accelerated deep learning R&D
ml-tooling/ml-workspace 3.2k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
open-mmlab/mmclassification 2.7k
OpenMMLab Pre-training Toolbox and Benchmark
View all open source projects on GitHub