Industry

Lyft
MedHub
Recursion
Everypixel
Neuromation
Ultralytics
borzo
VITECH Lab
Piñata Farms
ЦФТ
Sharper Shape
incode
Anadea
Openface
ID R&D
NewYorker
AriSaf Tech
Celsus
Add my company to this list

Add a company that uses Albumentations

Please fill an issue in our GitHub repository using the following form to add a company to this list.

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
- D Joshi, V Mishra, H Srivastav, D Goel
217. SinGAN-Seg: Synthetic training data generation for medical image segmentation
- V Thambawita, P Salehi, SA Sheshkal, SA Hicks
218. Addressing materials' microstructure diversity using transfer learning
- A Goetz, AR Durmaz, M Müller, A Thomas
219. Automatic sorting of Dwarf Minke Whale underwater images
- DA Konovalov, N Swinhoe, DB Efremova, RA Birtles
220. On the cross-dataset generalization in license plate recognition
- R Laroca, EV Cardoso, DR Lucio, V Estevam
221. Physical cue based depth-sensing by color coding with deaberration network
- N Mishima, T Kozakaya, A Moriya, R Okada
222. Semi-supervised learning for cervical precancer detection
- S Angara, P Guo, Z Xue, S Antani
223. Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business
- J Mizgajski, A Szymczak, M Morzy
224. A Dual-stream Framework for 3D Mask Face Presentation Attack Detection
- S Chen, T Yao, K Zhang, Y Chen
225. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
- I Nitze, K Heidler, S Barth, G Grosse
226. AVN: An Adversarial Variation Network Model for Handwritten Signature Verification
- H Li, P Wei, P Hu
227. Synthesize and segment: towards improved catheter segmentation via adversarial augmentation
- I Ullah, P Chikontwe, H Choi, CH Yoon, SH Park
228. Side-scan sonar image synthesis based on generative adversarial network for images in multiple frequencies
- Y Jiang, B Ku, W Kim, H Ko
229. Efficient attention-based deep encoder and decoder for automatic crack segmentation
- DH Kang, YJ Cha
230. Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases
- HN Saha, S Chakraborty, S Paul
231. Learning representations with contrastive self-supervised learning for histopathology applications
- K Stacke, J Unger, C Lundström, G Eilertsen
232. Detection and prediction of nutrient deficiency stress using longitudinal aerial imagery
- S Dadsetan, G Rose, N Hovakimyan
233. Exploitation of data augmentation strategies for improved uav detection
- L Freudenmann, L Sommer
234. 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
235. FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
- P Tang, X Yan, Y Nan, S Xiang, S Krammer
236. CrackWeb: A modified U-Net based segmentation architecture for crack detection
- S Ghosh, S Singh, A Maity
237. Detecting subsurface drainage pipes using a fully convolutional network with optical images
- H Song, DK Woo, Q Yan
238. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
- FS Herrera, JM Saavedra
239. A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography
- AA Sherwood, AI Sherwood, FC Setzer, JV Shamili
240. Annotation quality vs. quantity for deep-learned medical image segmentation
- T Wesemeyer, ML Jauer
241. Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing
- J You, Z Hu, C Peng, Z Wang
242. Semantic Segmentation of Low Earth Orbit Satellites using Convolutional Neural Networks
- J Yang, J Lucas, T Kyono, M Abercrombie, J Fletcher
243. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images
- I Trimeche, F Rossant, I Bloch
244. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …
- СВ Кравченко, АВ Алексеев, ЮА Орлова
245. Light-Weight Document Image Cleanup Using Perceptual Loss
- S Dey, P Jawanpuria
246. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
- PJ Navarro, L Miller, A Gila-Navarro, MV Díaz-Galián
247. Prior Attention Network for Multi-Lesion Segmentation in Medical Images
- X Zhao, P Zhang, F Song, C Ma, G Fan, Y Sun
248. ClipAssistNet: bringing real-time safety feedback to operating rooms
- F Aspart, JL Bolmgren, JL Lavanchy, G Beldi
249. Deep-learning based segmentation of challenging myelin sheaths
- T Le Couedic, R Caillon, F Rossant
250. Digging Into Self-Supervised Learning of Feature Descriptors
- I Melekhov, Z Laskar, X Li, S Wang
251. GAN-SMOTE: a generative adversarial network approach to synthetic minority oversampling for one-hot encoded data
- M Scott, J Plested
252. Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
- E Khvedchenya, T Gabruseva
253. Neural mesh refiner for 6-dof pose estimation
- D Wu, Y Chen, X Qi, Y Yu, W Chen, R Xiao
254. Robust deep learning-based semantic organ segmentation in hyperspectral images
- S Seidlitz, J Sellner, J Odenthal, B Özdemir
255. Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images
- SR Kundeti, MA Ansari, A Sanin
256. Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
- TH Park, S D'Amico
257. Structured Meta-Learning for Cross-Domain Few-Shot Classification. A study on structured representations and their effectiveness when dealing with tasks from …
- N De ANGELI
258. An affordable image-analysis platform to accelerate stomatal phenotyping During microscopic observation
- Y Toda, T Tameshige, M Tomiyama
259. Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain
- C Bouvier, N Souedet, J Levy, C Jan, Z You
260. Improved U-Net based on contour prediction for efficient segmentation of rectal cancer
- D Li, X Chu, Y Cui, J Zhao, K Zhang, X Yang
261. Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
- VT Pham, CM Tran, S Zheng, TM Vu
262. Detecting and adapting to irregular distribution shifts in bayesian online learning
- A Li, A Boyd, P Smyth, S Mandt
263. Offline Bangla Handwritten Text Recognition: A Comprehensive Study of Various Deep Learning Approaches
- F Sadaf, SMTU Raju, A Muntakim
264. Sketch2BPMN: Automatic recognition of hand-drawn BPMN models
- B Schäfer, H Aa, H Leopold
265. Super-resolution: 2. Machine learning-based approach
- AS Chernyavskiy
266. Automated measurement of Vickers hardness using image segmentation with neural networks
- Z Li, F Yin
267. Feature-based image registration in structured light endoscopy
- AM Kist, J Zilker, M Döllinger
268. Robust object detection with multi-input multi-output faster r-cnn
- S Cygert, A Czyżewski
269. A simple data augmentation method to improve the performance of named entity recognition models in medical domain
- AM Issifu, MC Ganiz
270. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels
- J Hobbs, V Khachatryan, BS Anandan
271. If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
- BC Hu, L Marsso, K Czarnecki, R Salay, H Shen
272. Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images
- W Tao, Z Xie, Y Zhang, J Li, F Xuan, J Huang, X Li
273. XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation
- S Nesteruk, S Illarionova, T Akhtyamov
274. MFFN: An Underwater Sensing Scene Image Enhancement Method Based on Multiscale Feature Fusion Network
- R Chen, Z Cai, W Cao
275. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models
- C von Koch, W Anzén
276. Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
- N Altini, B Prencipe, GD Cascarano, A Brunetti
277. H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
- N Marini, M Atzori, S Otálora
278. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences
- AY Kondratiev, H Yaginuma, Y Okada
279. Detecting aerial objects: drones, birds, and helicopters
- C Mediavilla, L Nans, D Marez
280. Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
- PK Saha, S Ahmed, T Ahmed, H Islam
281. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
- A Alahyari, A Hinneck
282. Automated annotator variability inspection for biomedical image segmentation
- MP Schilling, T Scherr, FR Münke, O Neumann
283. Taumed: Test augmentation of deep learning in medical diagnosis
- Y Hou, J Liu, D Wang, J He, C Fang
284. DBA_SSD: A novel end-to-end object detection algorithm applied to plant disease detection
- J Wang, L Yu, J Yang, H Dong
285. Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis
- S Chang, U Lee, MJ Hong, YD Jo
286. Face dissimilarity judgements are predicted by representational distance in deep neural networks and principal-component face space
- KM Jozwik, J O'Keeffe, KR Storrs, N Kriegeskorte
287. Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives
- YH Tee, WJ Goh, X Yong, HT Ong, J Hu, IYY Tay, S Shi
288. Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation
- S Ali, P Crawford, D Maire, A Pandey, K Ajay
289. Dermoscopic attributes classification using deep learning and multi-task learning
- I Saitov, T Polevaya, A Filchenkov
290. FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild
- SF Wu, MC Chang, S Lyu, CS Wong
291. Scaling the U-net: segmentation of biodegradable bone implants in high-resolution synchrotron radiation microtomograms
- IM Baltruschat, H Ćwieka, D Krüger
292. Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers
- C Henkel
293. Brain tumor segmentation and associated uncertainty evaluation using multi-sequences MRI mixture data preprocessing
- V Groza, B Tuchinov, E Amelina, E Pavlovskiy
294. The role of data for one-shot semantic segmentation
- T Luddecke, A Ecker
295. Using channel and network layer pruning based on deep learning for real-time detection of ginger images
- L Fang, Y Wu, Y Li, H Guo, H Zhang, X Wang, R Xi
296. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
297. Ten quick tips for deep learning in biology
- BD Lee, A Gitter, CS Greene, S Raschka
298. Application of shared backbone DNNs in ADAS perception systems
- MG Lobanov, DL Sholomov
299. AUTOMATED QUANTIFICATION OF VITREOUS HYPERREFLECTIVE FOCI AND VITREOUS HAZE USING OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS …
- H Lee, S Kim, H Chung, HC Kim
300. 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
301. BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images
- Y Cai, Y Yang, Q Zheng, Z Shen, Y Shang, J Yin, Z Shi
302. Prototype Memory for Large-Scale Face Representation Learning
- E Smirnov, N Garaev, V Galyuk, E Lukyanets
303. Variational beam search for novelty detection
- A Li, AJ Boyd, P Smyth, S Mandt
304. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных
- НА Андриянов, ДА Андриянов
305. End-to-End Optical Character Recognition for Bengali Handwritten Words
- FB Safir, AQ Ohi, MF Mridha
306. Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
- R Rahman, Z Bin Azad, M Bakhtiar Hasan
307. How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?
- S Koehler, A Tandon, T Hussain
308. Encoder-Recurrent Decoder Network for Single Image Dehazing
- A Dang, TH Vu, JC Wang
309. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
- A Kozlov
310. Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique
- MHK Khel, K Kadir, W Albattah, S Khan
311. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
- H Chen, C Lian, L Wang
312. Flood detection with sentinel-2 satellite images in crisis management systems
- A Moumtzidou, M Bakratsas, S Andreadis
313. Exploring 2D data augmentation for 3D monocular object detection
- K Santhakumar, BR Kiran, T Gauthier
314. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
- LF Henriques, S Colcher, RL Milidiú, A Bulcão
315. Deployed deep learning kidney segmentation for polycystic kidney disease MRI
- A Goel, G Shih, S Riyahi, S Jeph, H Dev
316. Robotic cable routing with spatial representation
- S Jin, W Lian, C Wang, M Tomizuka
317. Usage of compressed domain in fast frameworks
- HS Arslan, S Archambault, P Bhatt, K Watanabe
318. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
- B Liebl, M Burghardt
319. AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval
- MM Monowar, MA Hamid, AQ Ohi, MO Alassafi
320. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
- A Laugros, A Caplier, M Ospici
321. Ring artifacts segmentation on microtomographic images by convolutional neural networks
- A Kornilov, I Safonov
322. Safe augmentation: Learning task-specific transformations from data
- I Baran, O Kupyn, A Kravchenko
323. DilUnet: A U-net based architecture for blood vessels segmentation
- S Hussain, F Guo, W Li, Z Shen
324. IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing plm for recam with special tokens, re-ranking, siamese encoders and back translation
- Y Xie, L Xing, W Peng, Y Hu
325. Visual detection and tracking algorithms for minimally invasive surgical instruments: a comprehensive review of the state-of-the-art
- Y Wang, Q Sun, Z Liu, L Gu
326. 3D convolutional neural networks for stalled brain capillary detection
- R Solovyev, AA Kalinin, T Gabruseva
327. Eff-UNet++: A novel architecture for plant leaf segmentation and counting
- S Bhagat, M Kokare, V Haswani, P Hambarde
328. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection
- R Lõuk, A Tepljakov, A Riid
329. Augmentation-based object detection for winter time applications
- R Yagfarov, V Ostankovich
330. Micromobility safety applications using AI
- J Prats Cristià
331. Automatic fungi recognition: Deep learning meets mycology
- L Picek, M Šulc, J Matas, J Heilmann-Clausen
332. Anomalib: A Deep Learning Library for Anomaly Detection
- S Akcay, D Ameln, A Vaidya, B Lakshmanan
333. Использование аугментации изображений совместно с реализацией дважды стохастической модели для улучшения качества работы алгоритмов …
- НА Андриянов, ВЕ Дементьев
334. Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks
- P Alirezazadeh, F Rahimi-Ajdadi
335. Generative adversarial networks for image augmentation in agriculture: a systematic review
- E Olaniyi, D Chen, Y Lu, Y Huang
336. Fine-grained large-scale vulnerable communities mapping via satellite imagery and population census using deep learning
- J Salas, P Vera, M Zea-Ortiz, EA Villaseñor, D Pulido
337. Flood detection using real-time image segmentation from unmanned aerial vehicles on edge-computing platform
- D Hernández, JM Cecilia, JC Cano, CT Calafate
338. Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations
- N Marini, S Otálora, H Müller, M Atzori
339. Faster R-CNN model learning on synthetic images
- B Łach, E Łukasik
340. Rotation Augmentation for Head Pose Estimation Problem
- A Sheka, V Samun
341. Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting
- L Baghdasaryan, R Melikbekyan
342. Multimodal Approach for DeepFake Detection
- M Lomnitz, Z Hampel-Arias
343. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography
- Y Tian, S Xu, L Guo, F Cong
344. Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
- A Sheka, V Samun
345. Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
- G Pombo, R Gray, J Cardoso, S Ourselin
346. Data Augmentations for Cell-Type Generalizable Instance Segmentation
- J Chen
347. Robust hand tracking for surgical telestration
- LR Müller, J Petersen, A Yamlahi, P Wise
348. ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
- MB Pereira, JA dos Santos
349. End-to-end Two-Branch Classifier for Retinal Imaging Analysis
- Y Oh, H Park
350. Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks
- S Illarionova, D Shadrin, V Ignatiev
351. Cut And Continuous Paste Towards Real-Time Deep Fall Detection
- S Hwang, M Ki, SH Lee, S Park
352. Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures
- S Bayer
353. Remote Sensing Image Captioning with Continuous Output Neural Models
- R Ramos, B Martins
354. Automated Cardiac Chamber Size and Cardiac Physiology Measurement in Water Fleas by U-Net and Mask RCNN Convolutional Networks
- F Saputra, A Farhan, ME Suryanto, KA Kurnia
355. A Survey on Deep Learning for Skin Lesion Segmentation
- Z Mirikharaji, C Barata, K Abhishek, A Bissoto
356. A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem
- J Du, Y Zhang, X Lu, M Zhang, J Wang, S Liao, X Guo
357. TorMentor: Deterministic dynamic-path, data augmentations with fractals
- A Nicolaou, V Christlein, E Riba, J Shi
358. What Augmentations are Sensitive to Hyper-Parameters and Why?
- AM Khan
359. HMFS: Hybrid Masking for Few-Shot Segmentation
- S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic
360. On-Board Crowd Counting and Density Estimation Using Low Altitude Unmanned Aerial Vehicles—Looking beyond Beating the Benchmark
- B Ptak, D Pieczyński, M Piechocki, M Kraft
361. SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods
- M Serouart, S Madec, E David, K Velumani, RL Lozano
362. Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA
- E López-Varela, J Novo, JI Fernández-Vigo
363. 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
- J Wang, J Yang, L Yu, H Dong, K Yun, Y Wang
364. SimpleCut: A simple and strong 2D model for multi-person pose estimation
- TL Munea, C Yang, C Huang, MAM Elhassan
365. Built-in Elastic Transformations for Improved Robustness
- S Gulshad, I Sosnovik, A Smeulders
366. Coastline extraction from ALOS-2 satellite SAR images
- P Hurtik, M Vajgl
367. Smartphone Glass Inspection System.
- S Turko, L Burmak, I Malyshev, S Shtykov, M Popov
368. Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
- BA Krinski, DV Ruiz, E Todt
369. Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events
- Y Bai, B Zha, H Sezen, A Yilmaz
370. Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation
- H Wang, Z Huang, X Wu, EP Xing
371. Main areas detection on tennis courts
- J Arroyave Lopez, RA Echavarria Echeverri
372. Tolerant Semantic Segmentation for Aerial Logistics
- S Wang, F Maffra, R Mascaro, L Teixeira
373. Ultra Light OCR Competition Technical Report
- S Zhang, Y Zou, T Wang, Y Xiong
374. Evaluating the Performance of Synthetic Visual Data for Real-Time Object Detection
- J Adams, J Sutor, A Dodd
375. Enhancing the Prediction Accuracy of Solar Power Generation using a Generative Adversarial Network
- K Thonglek, K Ichikawa, K Takahashi
376. Development of integrated data augmentation automation tools for deep learning
- CH Jang, SY Lee, GM Park
377. Integrate YOLOv3 with a Self-attention Mechanism for Underwater Object Detection Based on Forward-looking Sonar Images
- J Yang, K Xie, K Qiu
378. Algoritmo de clasificación de lesiones en exámenes mamográficos
- J Bustos
379. Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net
- S Nofallah, M Mokhtari, W Wu, S Mehta
380. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
- A Martínez Mora
381. Facial recognition as a tool to identify Roman emperors: towards a new methodology
- DS Ramesh, S Heijnen, O Hekster
382. Attention-based Interpretability with Concept Transformers
- M Rigotti, C Miksovic, I Giurgiu, T Gschwind
383. IRT-GAN: A generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography
- L Cheng, Z Tong, S Xie, M Kersemans
384. SBDF-Net: A versatile dual-branch fusion network for medical image segmentation
- J Wang, S Tian, L Yu, Y Wang, F Wang
385. Evaluating generic AutoML tools for computational pathology
- LO Schwen, D Schacherer, C Geißler
386. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation
- W Luo, M Lin, L Chen, B Peng
387. Automated Quantification of Occupant Posture and Shoulder Belt Fit Using Safety Specific Key Points
- F Hartleitner, A Koppisetty
388. Panoptic Segmentation of Animal Fibers
- O Rippel, N Schönfelder, K Rahimi
389. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus
- V Vyšniauskas
390. Geometric Computer Vision Techniques for Scene Reconstruction
- E Riba Pi
391. Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)
- F Akhyar, EN Furqon, CY Lin
392. Detecting COVID-19 Opacity in X-ray Images Using YOLO and RetinaNet Ensemble
- V Tiwari, A Singhal, N Dhankhar
393. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …
- ВЕ Дементьев, НА Андриянов
394. Comparison of Segmentation Methods in Analysis of MR and CT Images of Pediatric Spine
- J Mikulka, D Chalupa, M Kolařík, K Říha
395. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
- S Koehler, T Hussain, Z Blair, T Huffaker
396. Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
- B Torpmann-Hagen, V Thambawita, K Glette
397. Artificially Intelligent Food Assistant for the Visually Impaired
- S Jain, E Brociner
398. Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma
- X Tian, C Chen, C Chen, Z Yan, W Wu
399. A scalable open-source framework for machine learning based image collection, annotation and classification: a case study for automatic fish species identification
- CNS Silva, J Dainys, S Simmons, V Vienožinskis
400. Localized Randomized Smoothing for Collective Robustness Certification
- J Schuchardt, T Wollschläger, A Bojchevski
401. Automatická detekce pózy člověka pomocí neuronových sítí
- J Straka
402. Instance Segmentation of Handwritten Text On Historical Document Images Using Deep Learning Approaches
- U Suleymanov, V Huseynov, I Manafova, A Mammadli
403. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
- Y Gu, Y Pan, S Chen
404. Re-Identificação de veículos em uma rede de câmeras não sobrepostas
- IO Oliveira
405. TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
- R Ghosh, F Bovolo
406. Synergy of unsupervised and supervised machine learning methods for the segmentation of the graphite particles in the microstructure of ductile iron
- K Alrfou, A Kordijazi, P Rohatgi, T Zhao
407. Body Part Regression for CT Images
- S Schuhegger
408. Systém sledování očních pohybů založený na neuronových sítích
- P Adrián
409. Segmentation of Polyp Instruments using UNet based deep learning model
- RK Rajak, AB Mirza
410. A Battery-Powered Friend: Towards Embedded Emotion Recognition
- P Shved
411. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
- Α Κωστόπουλος
412. Identificación de etiquetas en líneas de manufactura
- D Diaz Valencia, S Jaramillo Gonzales
413. An Image Augmentation Method Based on Limited Samples for Object Tracking Based on Mobile Platform
- Z Wang, S Yang, M Shi, K Qin
414. Analysis of medical images using deep learning
- A Utegulov
415. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors
- J Verecken, D Bol, C De Vleeschouwer
416. Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging
- E Tarakci, J Mandeville, F Hyder
417. A comparative study between vision transformers and CNNs in digital pathology
- L Deininger, B Stimpel, A Yuce
418. Obstacle Detection for BVLOS Drones
- JM Esteban, J van de Loosdrecht, M Aghaei
419. Training An Embedded Object Detector For Industrial Settings Without Real Images
- J Cohen, C Crispim-Junior
420. МЯГКИЕ ИЗМЕРЕНИЯ И ВЫЧИСЛЕНИЯ
- АИ ЛАБИНЦЕВ, АГ ДОЛМАТОВ
421. Synthetic Data Generation for the Development of 2D Gel Electrophoresis Protein Spot Models
- D Matuzevičius
422. Improving CNN roof segment detection by dataset extension using 3D city models
- F Faltermeier, S Krapf, B Willenborg
423. Change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network
- A Priyadarshi, PK Singh
424. Local Climate Zone Classification Using Multi-Scale Convolutional Neural Networks
- 김민호
425. Feature pyramid network with self-guided attention refinement module for crack segmentation
- JCH Ong, SLH Lau, MZP Ismadi
426. A Comparative Study on Performance Improvement for Camouflaged Object Detection
- A Ramani, M Naik, S Shah
427. Source Camera Model Identification
- S Mandelli, N Bonettini, P Bestagini
428. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
- N Yavari
429. Extracting text from scanned Arabic books: a large-scale benchmark dataset and a fine-tuned Faster-R-CNN model
- R Elanwar, W Qin, M Betke, D Wijaya
430. MobileNet SSD: étude d'un détecteur d'objets embarquable entraîné sans images réelles
- J Cohen, C Crispim-Junior, JM Chiappa
431. 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
432. Ridge-following control for agricultural tractors using deep learning and stereo camera
- H Kang, D Seo, B Lee, JG Han, JH Jo
433. Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma
- A Cheng, M Icaza, N Judd, J Smith, S Mukherjee
434. 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
435. 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
436. Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
- H Shin, H Shin, W Choi, J Park, M Park, E Koh, H Woo
437. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition
- B Huang
438. 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
439. Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
- G Humblot-Renaux, L Marchegiani
440. Differentiable data augmentation with Kornia
- J Shi, E Riba, D Mishkin, F Moreno
441. Tracking and Counting of Tomato at Different Growth Period Using an Improving YOLO-Deepsort Network for Inspection Robot
- Y Ge, S Lin, Y Zhang, Z Li, H Cheng, J Dong, S Shao
442. Robust Molecular Image Recognition: A Graph Generation Approach
- Y Qian, Z Tu, J Guo, CW Coley, R Barzilay
443. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition
- P Wang, L Ji, Z Ji, Y Gao, X Liu
444. SCSS-Net: solar corona structures segmentation by deep learning
- Š Mackovjak, M Harman
445. Wheat spikes counting using object-level data augmentation
- A Zaji, Z Liu, G Xiao, P Bhowmik
446. Mobile Object Tracking with Siamese Neural Network
- V Borsuk
447. Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models
- X Zhang, D Zhang, A Leye, A Scott, L Visser, Z Ge
448. TINYCD: A (NOT SO) DEEP LEARNING MODEL FOR CHANGE
- ACG Lombardi, A Ferrari
449. Assessing household damages using multi-model deep learning pipeline
- F KIYIKÇI, HO CUNEDİOĞLU, E Koşar
450. Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
- S Paul, S Ganju
451. Multi-view automated chest radiography interpretation
- P Jansson
452. 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
453. High-resolution photoacoustic microscopy with deep penetration through learning
- S Cheng, Y Zhou, J Chen, H Li, L Wang, P Lai
454. Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
- G Salomon, R Laroca, D Menotti
455. Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images
- J Xie, X Pu, J He, Y Qiu, C Lu, W Gao, X Wang
456. MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations
- C Gao, Z Wang, W Wang, J Zhang
457. Defect detection in welding radiographic images based on semantic segmentation methods
- H Xu, ZH Yan, BW Ji, PF Huang, JP Cheng, XD Wu
458. Underwater Image Enhancement With Reinforcement Learning
- S Sun, H Wang, H Zhang, M Li, M Xiang
459. What augmentations are sensitive to hyper-parameters and why?
- CM Awais, IEI Bekkouch, AM Khan
460. Approach to weld segmentation and defect classification in radiographic images of pipe welds
- VA Golodov, AA Maltseva
461. Data Labeling Impact on Deep Learning Models in Digital Pathology: a Breast Cancer Case Study
- K Benaggoune, Z Al Masry, C Devalland
462. Comparing Non-Bayesian Uncertainty Evaluation Methods in Chromosome Classification by Using Deep Neural Networks
- SM Zenciroglu
463. 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
464. Fine-Scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs
- BC Gonçalves, HJ Lynch
465. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas
- A Ferreras Extremo
466. Deep local directional embeddings para detección de objetos
- FE Souto Herrera
467. Artificial colorization of digitized microfilms and its impact on other tasks
- T Clérice, A Pinche
468. Multilevel feature fusion in digital pathology
- J Juvonen, T Pahikkala, PDA Karlsson
469. Algoritmo de clasificación de lesiones en exámenes mamográficos
- J Bustos Pelegri
470. Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images
- LCM Amaral, A Roshan, A Bayat
471. Breast Tumor Cell Nuclei Segmentation in Histopathology Images using EfficientUnet++ and Multi-organ Transfer Learning
- TL Dinh, SG Kwon, SH Lee
472. Depth Estimation of Martian Surface using ISRO's MARS Color Camera Images
- A Khamkar, A Pukale, P Joshi
473. 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
474. Object detection in automotive vehicle domain based on real and synthetic data
- R Ilechko
475. Pothole Detection Using Deep Learning and Area Assessment Using Image Manipulation
- S Kharel
476. Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study
- JE Cejudo Grano de Oro, PJ Koch, J Krois
477. Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs
- S Mandelli, N Bonettini, P Bestagini
478. Deepfake detection using neural networks
- S Sakib, MTA Abid, NS Tiana, WA Asha, SM Huq
479. A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach
- S Tan, X Zhang, H Wang, L Yu, Y Du
480. Estimation of patient's angle from skull radiographs using deep learning
- K Nakazeko, S Kojima, H Watanabe
481. Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
- KTR Voo, L Jiang, CC Loy
482. Esophageal virtual disease landscape using mechanics-informed machine learning
- S Halder, J Yamasaki, S Acharya, W Kou
483. Using X-ray Image Processing Techniques to Improve Pneumonia Diagnosis based on Machine Learning Algorithms
- M Aboghazalah, PM El Kafrawy
484. Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components
- J Du, B Li, X Lu, X Yang, X Guo
485. Image Segmentation Losses with Modules Expressing a Relationship Between Predictions
- P Hurtik, V Molek, H Zámečníková
486. Improving wheat head detection: a data-centric approach by domain variance reduction
- A Lad, MS Raval
487. Forecasting with gradient boosted trees: augmentation, tuning, and cross-validation strategies: Winning solution to the M5 Uncertainty competition
- AD Lainder, RD Wolfinger
488. Netting Damage Detection for Marine Aquaculture Facilities Based on Improved Mask R-CNN
- Z Zhang, F Gui, X Qu, D Feng
489. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
- A Zhuk, S Ablameyko
490. From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation
- M Yeung, T Watts, G Yang
491. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
- Θ Κασσιώτης
492. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision.
- S Poudel, SW Lee
493. GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification
- RF De Moraes, RS Evangelista
494. Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors
- SD Verboom, M Caballo, MJM Broeders
495. CATs++: Boosting Cost Aggregation with Convolutions and Transformers
- S Cho, S Hong, S Kim
496. Investigation of Methods for Increasing the Efficiency of Convolutional Neural Networks in Identifying Tennis Players
- NA Andriyanov, VE Dementev, KK Vasiliev
497. Season-invariant GNSS-denied visual localization for UAVs
- J Kinnari, F Verdoja, V Kyrki
498. End-to-end Multiple Instance Learning with Gradient Accumulation
- A Andersson, N Koriakina, N Sladoje
499. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus
- J Law, TG Paulson, CA Sanchez
500. Using Neural Encoder-Decoder Models With Continuous Outputs for Remote Sensing Image Captioning
- R Ramos, B Martins
501. Autonomous unmanned aerial vehicles and deep learning-based damage detection
- DH Kang
502. Anomaly Detection for In situ Marine Plankton Images
- Y Pu, Z Feng, Z Wang, Z Yang
503. A generalized framework for recognition of expiration dates on product packages using fully convolutional networks
- AC Seker, SC Ahn
504. The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
- KA Laube
505. Exemplar-guided low-light image enhancement
- Y Shi, X Wu, B Wang, M Zhu
506. An interactive system for muscle and fat tissue identification of the lumbar spine using semantic segmentation
- R Bieck, D Baur, J Berger, T Stelzner
507. Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale
- S Illarionova, D Shadrin, V Ignatiev, S Shayakhmetov
508. 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
509. An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5
- D Canedo, P Fonseca, P Georgieva
510. Autonomous Coordinated Control of the Light Guide for Positioning in Vitreoretinal Surgery
- Y Koyama, MM Marinho, M Mitsuishi
511. GreedyCenters: Satellite imagery adaptive sampling method for artificial neural networks training
- O Gvozdev
512. Model Faster R-CNN uczony na syntetycznych obrazach
- B Łach, E Łukasik
513. Analyzing Deep Learning Models' Generalization Ability Under Different Augmentations on Deepfake Datasets
- I Huseynli, S Varli
514. 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
515. LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation
- NPA Duong, A Almin, L Lemarié, BR Kiran
516. Data Augmentation for JPEG Steganalysis
- T Itzhaki, Y Yousfi, J Fridrich
517. PRNet: Progressive Resolution based Network for Radiograph based disease classification
- S Ahmed, H bin Atif, MB Shabbir
518. A Robust System to Detect and Explain Public Mask Wearing Behavior
- A Gupta, B Srivastava
519. Waste detection in Pomerania: non-profit project for detecting waste in environment
- S Majchrowska, A Mikołajczyk, M Ferlin
520. Augmentation Method for anti-vibration hammer on power transimission line based on CycleGAN
- Y Tian, Y Chen, W Diming, Y Shaoguang
521. 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
522. Local climate zone classification using a multi-scale, multi-level attention network
- M Kim, D Jeong, Y Kim
523. ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
- J Li, C Wang, B Huang, Z Zhou
524. Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image Segmentation
- A Lad, S Jani, H Madhani, S Soumya
525. Data Augmentations for Document Images.
- Y Lee, T Hong, S Kim
526. 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
527. Systematic investigation of Basic Data Augmentation Strategies on Histopathology Images
- J Annuscheit, B Voigt, O Fischer, P Baumann
528. Satellite Image Segmentation of Gold Exploration Areas in the Amazon Rainforest Using U-Net
- JMC Boaro, PTC dos Santos, A Serra
529. The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images
- SP Mohanty, G Singhal, EA Scuccimarra
530. Semantic Segmentation of Iron Ore Pellets in the Cloud
- H Lindberg
531. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS
- R HAMDI, C BOUVIER, T DELZESCAUX
532. 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
533. Multi-Label Retinal Disease Classification using Transformers
- MA Rodriguez, H AlMarzouqi, P Liatsis
534. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
- H Baumgartl, R Buettner
535. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
- K Hammoudi, A Cabani, B Slika, H Benhabiles
536. Reducing redundancy in Semantic-KITTI: Study on data augmentations within Active Learning
- NPA Duong, A Almin, L Lemarié, BR Kiran
537. 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
538. 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
539. 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
540. Towards Explainable Person Re-Identification
- D Goyal, N Patel, T Truong
541. Detection and prediction of hypothermia in ICUs using thermal images
- M Wason, T Sethi
542. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
- A Babolhavaeji, M Fanaei
543. 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
544. CASS Studies
- HEB CASS
545. Multiple flying bird and bird keypoint detection toolbox for processing bird videos
- A Delhez, R Ronsse
546. Cell Nuclei Segmentation in Cryonuseg dataset using Nested Unet with EfficientNet Encoder
- T Le Dinh, SH Lee, SG Kwon
547. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
- MA Ottom, HA Rahman, ID Dinov
548. 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
549. TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics
- J Pocock, S Graham, QD Vu, M Jahanifar
550. A spatial AI-based agricultural robotic platform for collision avoidance and disease detection in crops
- S Gunturu
551. 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
552. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
- LM Ellefsen
553. Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
- X Xu, Z Chen, D Xu, H Zhou, S Yu, S Zheng
554. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- FVM Perez
555. Bengali Handwritten Grapheme Recognition Using CutMix-Based Data Augmentation
- Z Zhang
556. A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
- F Maleki, K Cote, K Najafian, K Ovens, Y Miao
557. Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
- N Koriakina, N Sladoje, V Bašić, J Lindblad
558. 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
559. Domain Adaptation for Multi-Organ Nuclei Segmentation
- H Jung, GT Brown, Y Liu
560. Fiche de confidentialité et de diffusion du mémoire
- O Non
561. Transformers for breast cancer classification
- J Lindroos
562. ForgeryNet--Face Forgery Analysis Challenge 2021: Methods and Results
- Y He, L Sheng, J Shao, Z Liu, Z Zou, Z Guo
563. ПРИМЕНЕНИЕ АУГМЕНТАЦИИ ДЛЯ УЛУЧШЕНИЯ КАЧЕСТВА КЛАССИФИКАЦИИ
- ДЮ Афанасьев
564. On-line hazard detection on lunar digital elevation maps using semantic segmentation
- R Moghe, R Zanetti
565. Capturing Model Uncertainty with Data Augmentation in Deep Learning
- W Jiang, Y Zhao, Y Wu, H Zuo
566. Battery Pack Part Detection and Disassembly Verification Using Computer Vision
- J Rehnholm
567. Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms
- MP Schilling, S Schmelzer, JEU Gómez
568. A Visual-Range Cloud Cover Image Dataset for Deep Learning Models
- M Umair, MA Hashmani
569. Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
- JM Park, UH Kim, SH Lee
570. Deep Learning Based Crop Row Detection
- RM Doha
571. Pre-trained Backbones Effect on Nuclei Segmentation Performance
- C Maarouf, ML Benomar, N Settouti
572. 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
573. Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects
- T Truong, S Yanushkevich
574. A deep learning pipeline for breast cancer ki-67 proliferation index scoring
- K Benaggoune, ZA Masry, J Ma, C Devalland
575. Evaluating the application of a computer vision model in the customer service chatbot of an electric utility
- FAR Finardi, GM De Holanda
576. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy
- W Chen, B Fan
577. Data Augmentation for Building Footprint Segmentation in SAR Images: An Empirical Study
- S Wangiyana, P Samczyński, A Gromek
578. Task-Driven Data Augmentation for Vision-Based Robotic Control
- S Agarwal, SP Chinchali
579. Balanced Masked and Standard Face Recognition
- D Qi, K Hu, W Tan, Q Yao, J Liu
580. A multi-modal approach to forensic audio-visual device identification
- D Dal Cortivo
581. FilterNet: Self-Supervised Learning for High-Resolution Photo Enhancement
- PM Cuenca-Jiménez, J Fernández-Conde
582. Generative augmentation to improve lung nodules detection in resource-limited settings
- NF Gusarova, AP Klochkov, AA Lobantsev
583. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- AY Wagh
584. Comparison of the MultiRes U-Net and the classical U-Net on the performance of kidney and kidney tumor segmentation
- L Mak
585. Automatic Detection of Underground Objects in Ground Penetrating Radar Images using Machine Learning
- LC Martoni Amaral
586. Improving Machine Learning Approaches to Seismic Fault Imaging Through Training Augmentation
- P Norlund, F Jiang
587. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
- VTT Vi, AR Oh, GS Lee, HJ Yang, SH Kim
588. A CNN-based detector for video frame-rate interpolation
- S MARIANI
589. Automatic Snake Classification using Deep Learning Algorithm.
- L Kalinathan, P Balasundaram, P Ganesh
590. xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Imagery
- F Paolo, TT Lin, R Gupta, B Goodman, N Patel
591. An Empirical Study of Vision Transformers for Cervical Precancer Detection
- S Angara, P Guo, Z Xue, S Antani
592. Targeting the zebrafish eye using deep learning-based image segmentation
- J Holmberg
593. Weakly-Supervised Crack Detection
- Y Inoue, H Nagayoshi
594. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
- A Zhuchkov, D Prokhorov, V Gusev
595. A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
- HA Shah, F Saeed, S Yun, JH Park, A Paul
596. Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
- F Maleki, K Ovens, R Gupta, C Reinhold
597. Probabilistic deep learning methods for capturing uncertainty in SAR-based water segmentation maps
- V Hertel
598. Classification of chest x-ray images using machine learning techniques
- A Ahmed, G Tharwat, B Bouallegue, M Khattab
599. Deep Learning-based Object Understanding for Robotic Manipulation
- JS Moon, HJ Jo, JB Song
600. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
- Y Inoue
601. Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study
- E Bandari, T Beuzen, L Habashy, J Raza
602. Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures
- O Güley, S Pati, S Bakas
603. Intracranial hemorrhage subtype classification using learned fully connected separable convolutional network
- S Korra, R Mamidi, NR Soora, KV Kumar
604. Towards Rotation Invariance in Object Detection
- A Kalra, G Stoppi, B Brown
605. Recognition Recipes with Deep Machine Learning
- СВ Ульянов, АВ Филипьев
606. Brain tumor classification on the patient level using attention-based AI methods and multi-sequences MRI
- V Groza, B Tuchinov, E Amelina, E Pavlovskiy
607. ROZPOZNÁNÍ HRANIC JÍZDNÍHO PRUHU V ZÁBĚRECH PALUBNÍ KAMERY
- PD FRIDRICH
608. Segmentation of Polyps in Gastrointestinal Tract Images
- S Nasrin, J Alavi, P Viswanathan
609. Deep Learning object detection architectures in ADAS
- U Otamendi Etxabe
610. 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
611. Deep Learning Pipeline for Chromosome Segmentation
- K Pijackova, T Gotthans
612. Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
- P Fraccaro, N Stoyanov, Z Gaffoor, LEC La Rosa
613. Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
- F Hardalaç, F Uysal, O Peker, M Çiçeklidağ, T Tolunay
614. NoGAN: Deblurring Images without Adversarial Training
- R Vei
615. ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition
- J Kimata, T Nitta, T Tamaki
616. Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
- HC Chen, SS Tzeng, YC Hsiao, RF Chen
617. Multi-Stream Deep Convolutional Neural Network for PET Preform Surface Defects Detection and Classification
- T Zhang, C Duan
618. 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
619. deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques
- I Sa, JY Lim, HS Ahn, B MacDonald
620. A Self-Supervised Contrastive Learning Approach for Whole Slide Image Representation in Digital Pathology
- P Ashrafi Fashi
621. Machine learning of fake micrographs for automated analysis of crystal growth process
- T Ishiyama, T Imajo, T Suemasu
622. Image Segmentation of Adenovirus Particles in Food Vacuoles of Eukaryotic Organisms
- K Fu, R Zhou, S Li
623. Ensemble Deep Learning for Human-Object Interaction Detection
- AE Mansour, A Mohammed
624. GAN-based Defect Image Generation for Imbalanced Defect Classification of OLED panels
- Y Jeon, H Kim, H Lee, S Jo, J Kim
625. 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
626. Context-Unsupervised Adversarial Network for Video Sensors
- G Canet Tarrés, M Pardàs
627. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS
- K Vishnyakov, M Organokov
628. Multi-Axis 3D Printing Defect Detecting by Machine Vision with Convolutional Neural Networks
- H Zhang, Z Zong, Y Yao, Q Hu, M Aburaia
629. Woodscape Fisheye Object Detection for Autonomous Driving--CVPR 2022 OmniCV Workshop Challenge
- S Ramachandran, G Sistu, VR Kumar
630. 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
631. Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks
- HR Choi, TS Siadari, JE Kim, KH Huh
632. Spectral decoupling for training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
633. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms
- P Miralles Roure
634. Data Augmentation with Illumination Correction in Sematic Segmentation
- H Liu, C Wang, Y Peng
635. Helping Biologists Find Whales: AI-in-the-Loop Support for Environmental Dataset Creation
- M Gheibi
636. Test Time Augmentation for Cross-lingual Text Classification
- A Zhyvalkouski, SH Nobesawa
637. Human Object Ownership Tracking in Autonomous Retail
- JDLDM Falcão
638. An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet
- G Marques, A Ferreras, I de la Torre-Diez
639. Predicting biochemical recurrence of prostate cancer with artificial intelligence
- H Pinckaers, J van Ipenburg, J Melamed
640. Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensities in Different Datasets of Brain MRI
- R Maulana, MF Rachmadi
641. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images
- VS Samun, AS Sheka, TV Chumarnaya
642. ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
- N Ghamsarian, M Taschwer
643. Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection
- Z Zhang, S Zhong, A Fares, Y Liu
644. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
- Q Liu, M Kampffmeyer, R Jenssen
645. Deep Learning Classification Experiments on the Texas Colorado River Delta
- L Su, J Gibeaut, J Magolan
646. Classifying Sounds in Polyphonic Urban Sound Scenes
- J Abeßer
647. A self-supervised learning approach for astronomical images
- ACRC Martinazzo
648. Region-Based Split Octonion Networks with Channel Attention Module for Tuna Classification
- JA Jose, CS Kumar, S Sureshkumar
649. Using deep learning for food recognition
- L Zhu
650. Core box image recognition and its improvement with a new augmentation technique
- EE Baraboshkin, AE Demidov, DM Orlov
651. Cost Aggregation Is All You Need for Few-Shot Segmentation
- S Hong, S Cho, J Nam, S Kim
652. Распознавание отражающих горизонтов с помощью сверточной нейронной сети
- АЭ Грибуль, АИ Ненюкова, ВЛ Рыжов
653. 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
654. Object Detection Frameworks for Real-Time, Scale-Invariant Face Mask Detection
- LPB Facun, MJC Baculo, MF Libao
655. Rubik's Cube layout construction and validation algorithm
- B Borkivskyi
656. Bag of Tricks for Training Brain-Like Deep Neural Networks
- A Riedel
657. A multi-category intelligent method for the evaluation of visual comfort in underground space
- B Zhou, Y Gui, X Xie, W Li, Q Li
658. Automated Annotation of in Vitro Fertilization Time-Lapse Using Deep Neural Network
- CM Louis, A Erwin, M Galinium
659. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
- C Yaras, B Huang, K Bradbury, JM Malof
660. Segmentation of Polyp Instruments using UNet based deep learning model
- A Mirza, RK Rajak
661. Weakly-supervised individual human cell classification
- D Kolinko
662. Variational Beam Search for Learning with Distribution Shifts
- A Li, A Boyd, P Smyth, S Mandt
663. 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
664. Estudio del uso de redes neuronales 3D para el desarrollo de sistemas inteligentes para la colonoscopia
- M Tena Morales
665. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
666. Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology
- S Yi, Z Yang, L Zhou, S Zou, H Xie
667. DOCTEUR EN INFORMATIQUE
- C DOUARRE
668. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning
- CCG Sarasa, JDO Pabón
669. Spectral decoupling allows training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
670. Potholes Detection Using Deep Learning and Area Estimation Using Image Processing
- S Kharel, KR Ahmed
671. Digital tongue image analyses for health assessment
- J Xie, C Jing, Z Zhang, J Xu, Y Duan, D Xu
672. 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
673. Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM
- MI Patel, S Singla, RAA Mattathodi
674. Real-Time Image Registration via A Deep Leaning Approach for Correlative X-ray and Electron Microscopy
- Y Luo, N Zaluzec, M Cherukara, X Wu
675. Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting
- HR Torres, B Oliveira, PR Morais
676. Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey
- B Zhou, X Yang, WJ Curran, T Liu
677. Data Driven Style Transfer for Remote Sensing Applications
- EA Stump
678. Leveraging High-Frequency Components for Deepfake Detection
- N Mejri, K Papadopoulos
679. 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
680. An Impact of Data Augmentation Techniques on the Robustness of CNNs
- K Szyc
681. Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation
- W He, M Liu, Y Tang, Q Liu
682. Image-based Stroke Assessment for Multi-site Preclinical Evaluation of Cerebroprotectants
- RP Cabeen, J Mandeville, F Hyder
683. Automated region split algorithm with pre-trained CNN model for tuna classification
- JA Jose, CS Kumar
684. Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
- N Marini, S Marchesin, S Otálora, M Wodzinski
685. Video monitoring over anti-decubitus protocol execution with a deep neural network to prevent pressure ulcer
- I Danilovich, V Moshkin, A Reimche
686. Image-Based Wheat Fungi Diseases Identification by Deep Learning. Plants 2021, 10, 1500
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova
687. 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
688. Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke
- BJ Mittmann, M Braun, F Runck, B Schmitz
689. Semantic Segmentation (U-Net) of Archaeological Features in Airborne Laser Scanning—Example of the Białowieża Forest
- PZ Banasiak, PL Berezowski, R Zapłata, M Mielcarek
690. Transformer-Based Deep Monocular Visual Odometry for Edge Devices
- A Klochkov, I Drokin
691. Observations and Geoinformation
- T Tampuu, J Praks, A Kull, R Uiboupin, T Tamm
692. Learning an augmentation strategy for sparse datasets
- RB Arantes, G Vogiatzis, DR Faria
693. Online Monitoring of Object Detection Performance During Deployment
- QM Rahman, N Sünderhauf
694. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH
- R HAMDI, C Bouvier, T Delzescaux, C Clouchoux
695. Self-Supervised Learning for Fine-Grained Image Classification
- FA Breiki, M Ridzuan, R Grandhe
696. Deep Image Denoising with Adaptive Priors
- B Jiang, Y Lu, J Wang, G Lu
697. Learning from few examples: Classifying sex from retinal images via deep learning
- A Berk, G Ozturan, PDD Maberley, O Yılmaz
698. 딥러닝을 활용한 감자 수확량 모니터링 시스템 설계
- 장성혁， 이상희， 최용， 김태형， 신소영
699. Automatic lesion boundary detection in dermoscopy
- G Kechyn
700. Detecting Deepfakes with Self-Blended Images
- K Shiohara, T Yamasaki
701. xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
- F Paolo, TT Lin, R Gupta, B Goodman, N Patel
702. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
- T Nickchen, S Heindorf
703. 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound
- C Dacho, D Gabauer, D Brunner
704. Image-Based Analysis of Dense Particle Mixtures via Mask R-CNN
- M Frei, FE Kruis
705. FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
- V Borsuk, R Vei, O Kupyn, T Martyniuk
706. Data Augmentation for Tomato Detection and Pose Estimation
- M Jang, Y Hwang
707. Effectiveness of Data Augmentation in Multi-class Face Recognition
- P Rahmatullah, TF Abidin
708. Efficient Super-Resolution For Chest X-rays
- KS Krishnan, KS Krishnan
709. Segmentación objeto-fondo mediante redes convolucionales
- R Arcos Serrano
710. 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
711. Advanced-ExtremeNet: Combined with Depthwise Separable Convolution for the Detection of Steel Bars
- S Pang, X Liu, S Mao, H Jia, B Liu
712. Background-Foreground Segmentation for Interior Sensing in Automotive Industry
- C Drygala, M Rottmann, H Gottschalk
713. Semantic drift prediction for class incremental deep metric learning
- KA Nugroho, SJ Ruan
714. Small Drone Detection with Image Tiling in Counter Autonomous System Context
- G Gagnéa, JP Mercierb, V Paquinb, Y DeVillersa
715. Attentive Manifold Mixup for Model Robustness
- Z Zhou, J Yang
716. World Robot Challenge 2020--Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator
- T Matsushima, Y Noguchi, J Arima, T Aoki
717. SynFace: Face Recognition with Synthetic Data (Supplementary Materials)
- H Qiu, B Yu, D Gong, Z Li, W Liu, D Tao
718. Wind speed estimation using novelty hybrid adaptive estimation model based on decomposition and deep learning methods (ICEEMDAN-CNN)
- C Emeksiz, M Tan
719. 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
720. OCR-based Inventory Management Algorithms Robust to Damaged Images
- M Seo, D Kim, H Kang, D Cho
721. 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
722. Comparative study of xAI layer-wise algorithms with a Robust Recommendation framework of Inductive Clustering for Polyp Segmentation and Classification
- SM Javali, RS Upadhyayula
723. Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning
- SAH Tabatabaei, P Fischer, S Wattendorf
724. An Experimental Study of Semantic Continuity for Deep Learning Models
- S Wu, J Sang, X Zhao, L Chen
725. A Novel Deep Learning Model for Sea State Classification Using Visual-Range Sea Images
- M Umair, MA Hashmani, SS Hussain Rizvi, H Taib
726. Automatic phantom test pattern classification through transfer learning with deep neural networks
- RB Fricks, J Solomon, E Samei
727. Использование аугументаций при сегментации зданий на спутниковых снимках с помощью нейронной сети U-NET
- АО Жук, СВ Абламейко
728. Improving Semi-Supervised Learning for Audio Classification with FixMatch. Electronics 2021, 10, 1807
- S Grollmisch, E Cano
729. Forensic Analysis of Synthetically Generated Western Blot Images
- S Mandelli, D Cozzolino, ED Cannas
730. CATKit: a Color and Thermal Computer Vision toolKit and Benchmark for Cross-Modal Similarity and Semantic Segmentation
- WR Treible
731. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches
- YV Fedotova, RUI Epifanov, AA Karpenko
732. Self Supervised Learning for Object Localisation in 3D Tomographic Images
- Y Zharov, A Ershov, T Baumbach
733. DeepFake detection algorithm based on improved vision transformer
- YJ Heo, WH Yeo, BG Kim
734. 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 20.8k
OpenMMLab Detection Toolbox and Benchmark
spmallick/learnopencv 16.8k
Learn OpenCV : C++ and Python Examples
deepinsight/insightface 12.4k
State-of-the-art 2D and 3D Face Analysis Project
PaddlePaddle/PaddleSeg 5.2k
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 4.2k
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
pytorch/ignite 4.0k
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
NVlabs/imaginaire 3.4k
NVIDIA's Deep Imagination Team's PyTorch Library
catalyst-team/catalyst 3.0k
Accelerated deep learning R&D
ml-tooling/ml-workspace 2.7k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
open-mmlab/mmpose 2.3k
OpenMMLab Pose Estimation Toolbox and Benchmark.
lukas-blecher/LaTeX-OCR 1.7k
pix2tex: Using a ViT to convert images of equations into LaTeX code.
azavea/raster-vision 1.6k
An open source framework for deep learning on satellite and aerial imagery.
View all open source projects on GitHub