Industry

Apple
Google Research
Meta Research
NVIDIA Research Projects
Amazon Science
Microsoft Open Source
Salesforce Open Source
Stability AI
IBM Open Source
Hugging Face
Sony
Alibaba Open Source
Tencent Open Source
H2O.ai

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
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
12. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
- Y Chen, AR Janowczyk
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, GD Hager
17. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
- C Domínguez
18. Semi-supervised segmentation of salt bodies in seismic images using an ensemble of convolutional neural networks
- A Sanakoyeu
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
23. A review of medical image data augmentation techniques for deep learning applications
- P Chlap, H Min
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
26. Urban sound tagging using convolutional neural networks
- S Adapa
27. MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
- R Verma, N Kumar, NC Kurian
28. StandardGAN: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization
- Y Tarabalka
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, D Tuia
32. Drone vs. bird detection: Deep learning algorithms and results from a grand challenge
- A Coluccia, A Fascista
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
- 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, K Ovens
37. Easyaug: An automatic textual data augmentation platform for classification tasks
- X Shen
38. Convolutional neural network for drowsiness detection using EEG signals
- S Chaabene, B Bouaziz
39. Camera model identification using convolutional neural networks
- A Kuzin, I Kibardin
40. Identifying melanoma images using efficientnet ensemble: Winning solution to the siim-isic melanoma classification challenge
- B Liu
41. Automatic salt deposits segmentation: A deep learning approach
- I Ashrapov
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
47. Method for diagnosis of acute lymphoblastic leukemia based on ViT-CNN ensemble model
-
48. Deep learning for retail product recognition: Challenges and techniques
- Y Wei, S Tran, S Xu, 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
- S Liu, 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
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
- HC Dias, CH Grohmann
56. Deepfake detection scheme based on vision transformer and distillation
- YJ Heo, YJ Choi, BG Kim
57. The inclusive images competition
- J Atwood, Y Halpern, P Baljekar
58. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets
- Y An, J Guo, 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
60. Road segmentation using u-net architecture
-
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
- 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, N Hughes, T Eltoft
68. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review
- N Wambugu, Y Chen, 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
- X Yang
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
-
73. Semantic segmentation of smartphone wound images: Comparative analysis of AHRF and CNN-based approaches
- A Wagh, A Mukherjee, E Agu
74. AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
- Y Yin, 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
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
-
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
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
-
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
-
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
93. Visual identification of articulated object parts
- 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
98. A Deep learning approach to Hazard detection for Autonomous Lunar landing
- R Moghe, R Zanetti
99. Deep depth from aberration map
- N Mishima
100. A weak supervision machine vision detection method based on artificial defect simulation
- 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
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 …
- NA Andriyanov
107. End-to-end deep learning methods for automated damage detection in extreme events at various scales
- 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
- N Sun
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
- M Burghardt
113. Normalization of HE-stained histological images using cycle consistent generative adversarial networks
-
114. Resources for image-based high-throughput phenotyping in crops and data sharing challenges
- MF Danilevicz, PE Bayer
115. Two-stream convolutional neural network based on gradient image for aluminum profile surface defects classification and recognition
-
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
118. A hybrid deep convolutional neural network for accurate land cover classification
- N Wambugu, Y Chen, 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
- A Ugur
122. Localization of cementoenamel junction in intraoral ultrasonographs with machine learning
- BM Le, 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
- D Hong, X Yang
127. Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas
- F Alvarez, D Zarpalas, P Daras
128. SpheroidJ: an open-source set of tools for spheroid segmentation
- 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
-
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
133. {FlashNeuron}:{SSD-Enabled}{Large-Batch} Training of Very Deep Neural Networks
- J Bae, Y Jin, S Son, H Jang
134. Multi-level dilated residual network for biomedical image segmentation
- NR Gudhe, H Behravan
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
- N Riche
137. Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
- 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, 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
- A Ortis, S Battiato
143. Classification and understanding of cloud structures via satellite images with EfficientUNet
- T Ahmed
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
- P Liu
146. PathML: a unified framework for whole-slide image analysis with deep learning
- AG Berman, WR Orchard
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
-
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
151. Automatic fault mapping in remote optical images and topographic data with deep learning
- 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
-
155. Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation
- T Monjo, M Koido
156. Deep learning-based spacecraft relative navigation methods: A survey
- D Rondao, N Aouf
157. Social distancing detection and analysis through computer vision
-
158. Deep learning-based four-region lung segmentation in chest radiography for COVID-19 diagnosis
- K Kim, D Wu, H Ren
159. Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
- L Sharan, S Koehler
160. Data preprocessing via multi-sequences mri mixture to improve brain tumor segmentation
- B Tuchinov, E Pavlovskiy
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
- L Krasnov
163. On attribution of deepfakes
- B Zhang, I Shumailov, N Papernot
164. Generation of the nir spectral band for satellite images with convolutional neural networks
- S Illarionova, D Shadrin, V Ignatiev
165. A U-Net Based Approach for Automating Tribological Experiments
- B Staar, 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, 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, Q Jin
169. Method for whale re-identification based on siamese nets and adversarial training
- RA Solovyev
170. Point proposal based instance segmentation with rectangular masks for robot picking task
-
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
173. A semi-self-supervised learning approach for wheat head detection using extremely small number of labeled samples
- K Najafian, 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
-
176. FruitDet: Attentive feature aggregation for real-time fruit detection in orchards
- 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
- R Laroca, D Menotti
182. Landslide susceptibility prediction based on image semantic segmentation
- B Du, 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
- MJ Carman, P Bestagini
185. DFGC 2021: a DeepFake game competition
- B Peng, H Fan, 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, H Harlin, J Lindblad
190. Urban sound classification: Striving towards a fair comparison
- B Hanssens, N Riche
191. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery Using Deep Learning Techniques
-
192. Artificial Intelligence based identification of Total Knee Arthroplasty Implants
- S Ghose, 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
-
196. 残差密集相对平均 CGAN 的脑部图像配准
-
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 Xu, B Lei
199. Exploiting sample correlation for crowd counting with multi-expert network
- X Liu, G Li, Z Han, W Zhang
200. Efficient palm-line segmentation with U-net context fusion module
- TP Van, ST Nguyen, NN Tran
201. Self-supervised audiovisual representation learning for remote sensing data
- K Heidler, L Mou, 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
205. Densely connected feature pyramid network for image segmentation
-
206. Analysis of the paraspinal muscle morphology of the lumbar spine using a convolutional neural network (CNN)
- R Bieck, 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
- DA Boiko, VP Ananikov
210. MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble
-
211. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet
-
212. Benchmark for generic product detection: a strong baseline for dense object detection
- S Varadarajan, 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
216. Progressive transfer learning approach for identifying the leaf type by optimizing network parameters
- D Joshi, V Mishra, 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
- AR Durmaz, M Müller, A Thomas
219. Automatic sorting of Dwarf Minke Whale underwater images
- DA Konovalov, 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, R Okada
222. Semi-supervised learning for cervical precancer detection
- S Angara, P Guo, 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
225. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
- I Nitze, K Heidler, G Grosse
226. Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
- Y Lu, D Chen, E Olaniyi
227. AVN: An Adversarial Variation Network Model for Handwritten Signature Verification
- H Li, P Wei
228. Synthesize and segment: towards improved catheter segmentation via adversarial augmentation
- I Ullah, P Chikontwe, H Choi, CH Yoon, SH Park
229. Side-scan sonar image synthesis based on generative adversarial network for images in multiple frequencies
- Y Jiang, H Ko
230. Efficient attention-based deep encoder and decoder for automatic crack segmentation
- DH Kang, YJ Cha
231. Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases
- HN Saha
232. Learning representations with contrastive self-supervised learning for histopathology applications
- K Stacke, J Unger, C Lundström, G Eilertsen
233. Detection and prediction of nutrient deficiency stress using longitudinal aerial imagery
- S Dadsetan, N Hovakimyan
234. Exploitation of data augmentation strategies for improved uav detection
-
235. A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket …
-
236. FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
- P Tang, X Yan, Y Nan
237. CrackWeb: A modified U-Net based segmentation architecture for crack detection
- S Ghosh
238. Detecting subsurface drainage pipes using a fully convolutional network with optical images
- H Song, DK Woo, Q Yan
239. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
- JM Saavedra
240. A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography
-
241. Annotation quality vs. quantity for deep-learned medical image segmentation
-
242. Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing
- Z Hu
243. Semantic Segmentation of Low Earth Orbit Satellites using Convolutional Neural Networks
- J Lucas, T Kyono
244. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images
- F Rossant, I Bloch
245. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …
-
246. Light-Weight Document Image Cleanup Using Perceptual Loss
- S Dey, P Jawanpuria
247. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
- PJ Navarro, MV Díaz-Galián
248. Prior Attention Network for Multi-Lesion Segmentation in Medical Images
- X Zhao
249. ClipAssistNet: bringing real-time safety feedback to operating rooms
- F Aspart, JL Lavanchy, G Beldi
250. Deep-learning based segmentation of challenging myelin sheaths
- R Caillon, F Rossant
251. Digging Into Self-Supervised Learning of Feature Descriptors
- I Melekhov, Z Laskar, X Li, S Wang
252. GAN-SMOTE: a generative adversarial network approach to synthetic minority oversampling for one-hot encoded data
- J Plested
253. Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
-
254. Neural mesh refiner for 6-dof pose estimation
- D Wu, Y Chen, X Qi
255. Robust deep learning-based semantic organ segmentation in hyperspectral images
- S Seidlitz, J Odenthal
256. Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images
-
257. Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
- TH Park, S D'Amico
258. Structured Meta-Learning for Cross-Domain Few-Shot Classification. A study on structured representations and their effectiveness when dealing with tasks from …
-
259. An affordable image-analysis platform to accelerate stomatal phenotyping During microscopic observation
- Y Toda
260. Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain
-
261. Improved U-Net based on contour prediction for efficient segmentation of rectal cancer
-
262. Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
- S Zheng
263. Detecting and adapting to irregular distribution shifts in bayesian online learning
- A Boyd, P Smyth, S Mandt
264. Offline Bangla Handwritten Text Recognition: A Comprehensive Study of Various Deep Learning Approaches
- F Sadaf, SMTU Raju, A Muntakim
265. Sketch2BPMN: Automatic recognition of hand-drawn BPMN models
- B Schäfer, H Aa, H Leopold
266. Super-resolution: 2. Machine learning-based approach
- AS Chernyavskiy
267. Automated measurement of Vickers hardness using image segmentation with neural networks
-
268. Feature-based image registration in structured light endoscopy
- AM Kist, M Döllinger
269. Robust object detection with multi-input multi-output faster r-cnn
- S Cygert, A Czyżewski
270. Tracking and Counting of Tomato at Different Growth Period Using an Improving YOLO-Deepsort Network for Inspection Robot
-
271. A simple data augmentation method to improve the performance of named entity recognition models in medical domain
- AM Issifu, MC Ganiz
272. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels
- J Hobbs, V Khachatryan
273. If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
- BC Hu, K Czarnecki, R Salay
274. Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images
- J Huang, X Li
275. XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation
- S Nesteruk, S Illarionova
276. MFFN: An Underwater Sensing Scene Image Enhancement Method Based on Multiscale Feature Fusion Network
- Z Cai
277. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models
-
278. Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
- N Altini, B Prencipe, GD Cascarano, A Brunetti
279. H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
- N Marini, M Atzori, S Otálora
280. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences
- Y Okada
281. Detecting aerial objects: drones, birds, and helicopters
- D Marez
282. Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
- PK Saha, S Ahmed, T Ahmed
283. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
- A Alahyari
284. Automated annotator variability inspection for biomedical image segmentation
- MP Schilling, T Scherr, O Neumann
285. Taumed: Test augmentation of deep learning in medical diagnosis
- C Fang
286. DBA_SSD: A novel end-to-end object detection algorithm applied to plant disease detection
- J Yang
287. Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis
-
288. Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models
- KR Storrs, T Golan
289. Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives
- YH Tee, HT Ong, J Hu
290. Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation
- S Ali, A Pandey
291. Dermoscopic attributes classification using deep learning and multi-task learning
- A Filchenkov
292. FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild
- SF Wu, MC Chang, S Lyu
293. Scaling the U-net: segmentation of biodegradable bone implants in high-resolution synchrotron radiation microtomograms
- IM Baltruschat
294. Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers
- C Henkel
295. Brain tumor segmentation and associated uncertainty evaluation using multi-sequences MRI mixture data preprocessing
- B Tuchinov, E Pavlovskiy
296. The role of data for one-shot semantic segmentation
- T Luddecke, A Ecker
297. Using channel and network layer pruning based on deep learning for real-time detection of ginger images
-
298. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
- L Chang
299. Ten quick tips for deep learning in biology
- BD Lee, A Gitter, CS Greene, S Raschka
300. Application of shared backbone DNNs in ADAS perception systems
- DL Sholomov
301. AUTOMATED QUANTIFICATION OF VITREOUS HYPERREFLECTIVE FOCI AND VITREOUS HAZE USING OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS …
-
302. Artificial intelligence and image processing in the MIRET approach for the water detection and integrated geotechnical management of existing mechanized …
- F Foria
303. BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images
- J Yin
304. Prototype Memory for Large-Scale Face Representation Learning
- E Smirnov
305. Variational beam search for novelty detection
- AJ Boyd, P Smyth, S Mandt
306. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных
-
307. End-to-End Optical Character Recognition for Bengali Handwritten Words
- FB Safir, AQ Ohi, MF Mridha
308. Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
- R Rahman, Z Bin Azad, M Bakhtiar Hasan
309. How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?
- S Koehler, A Tandon, T Hussain
310. Encoder-Recurrent Decoder Network for Single Image Dehazing
- TH Vu
311. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
-
312. Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique
- MHK Khel, K Kadir, W Albattah, S Khan
313. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
-
314. Flood detection with sentinel-2 satellite images in crisis management systems
- A Moumtzidou, M Bakratsas
315. Exploring 2D data augmentation for 3D monocular object detection
- BR Kiran
316. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
- S Colcher
317. Deployed deep learning kidney segmentation for polycystic kidney disease MRI
- A Goel, S Riyahi, H Dev
318. Robotic cable routing with spatial representation
- W Lian, M Tomizuka
319. Usage of compressed domain in fast frameworks
- HS Arslan
320. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
- M Burghardt
321. AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval
- MM Monowar, AQ Ohi, MO Alassafi
322. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
- A Laugros, A Caplier, M Ospici
323. Ring artifacts segmentation on microtomographic images by convolutional neural networks
- I Safonov
324. Safe augmentation: Learning task-specific transformations from data
- O Kupyn
325. DilUnet: A U-net based architecture for blood vessels segmentation
- S Hussain
326. 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
327. Visual detection and tracking algorithms for minimally invasive surgical instruments: a comprehensive review of the state-of-the-art
- L Gu
328. 3D convolutional neural networks for stalled brain capillary detection
- R Solovyev, AA Kalinin
329. Eff-UNet++: A novel architecture for plant leaf segmentation and counting
- S Bhagat, M Kokare, V Haswani, P Hambarde
330. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection
- A Tepljakov, A Riid
331. Augmentation-based object detection for winter time applications
- R Yagfarov, V Ostankovich
332. Micromobility safety applications using AI
-
333. Automatic fungi recognition: Deep learning meets mycology
- L Picek, M Šulc, J Matas
334. Anomalib: A Deep Learning Library for Anomaly Detection
- S Akcay, B Lakshmanan
335. Использование аугментации изображений совместно с реализацией дважды стохастической модели для улучшения качества работы алгоритмов …
-
336. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using …
- Y Hong
337. Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks
- P Alirezazadeh, F Rahimi-Ajdadi
338. Generative adversarial networks for image augmentation in agriculture: a systematic review
- E Olaniyi, D Chen, Y Lu
339. Fine-grained large-scale vulnerable communities mapping via satellite imagery and population census using deep learning
- J Salas, D Pulido
340. Flood detection using real-time image segmentation from unmanned aerial vehicles on edge-computing platform
- D Hernández, JM Cecilia, JC Cano, CT Calafate
341. 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
342. Faster R-CNN model learning on synthetic images
-
343. Rotation Augmentation for Head Pose Estimation Problem
-
344. Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting
-
345. Multimodal Approach for DeepFake Detection
- M Lomnitz, Z Hampel-Arias
346. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography
- S Xu, F Cong
347. Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
-
348. Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
- G Pombo, J Cardoso, S Ourselin
349. Data Augmentations for Cell-Type Generalizable Instance Segmentation
-
350. Robust hand tracking for surgical telestration
- LR Müller
351. ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
- MB Pereira, JA dos Santos
352. End-to-end Two-Branch Classifier for Retinal Imaging Analysis
- H Park
353. Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks
- S Illarionova, D Shadrin, V Ignatiev
354. Cut And Continuous Paste Towards Real-Time Deep Fall Detection
- S Hwang, M Ki
355. Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures
- S Bayer
356. Remote Sensing Image Captioning with Continuous Output Neural Models
- R Ramos, B Martins
357. Automated Cardiac Chamber Size and Cardiac Physiology Measurement in Water Fleas by U-Net and Mask RCNN Convolutional Networks
- A Farhan, ME Suryanto
358. A Survey on Deep Learning for Skin Lesion Segmentation
- Z Mirikharaji, C Barata, K Abhishek, A Bissoto
359. A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem
-
360. Improving Deepfake Video Detection Using Data Augmentation Techniques
-
361. TorMentor: Deterministic dynamic-path, data augmentations with fractals
- A Nicolaou, V Christlein, E Riba
362. AI-Aided Printed Line Smearing Analysis of the Roll-to-Roll Screen Printing Process for Printed Electronics
- BH Ryu, I Kim
363. What Augmentations are Sensitive to Hyper-Parameters and Why?
- AM Khan
364. HMFS: Hybrid Masking for Few-Shot Segmentation
- S Moon, SS Sohn, H Zhou, S Yoon
365. 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
366. A First Look at Dataset Bias in License Plate Recognition
- R Laroca, V Estevam, E Luz
367. SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods
- M Serouart, S Madec, K Velumani
368. Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA
- E López-Varela, J Novo
369. DBA_SSD: A Novel End-to-End Object Detection Using Deep Attention Module for Helping Smart Device with Vegetable and Fruit Leaf Plant Disease Detection
-
370. SimpleCut: A simple and strong 2D model for multi-person pose estimation
- TL Munea, MAM Elhassan
371. Built-in Elastic Transformations for Improved Robustness
- S Gulshad, I Sosnovik, A Smeulders
372. Coastline extraction from ALOS-2 satellite SAR images
- P Hurtik, M Vajgl
373. Smartphone Glass Inspection System.
-
374. Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
- BA Krinski, DV Ruiz, E Todt
375. Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events
- B Zha, H Sezen, A Yilmaz
376. Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation
- H Wang, Z Huang, X Wu, EP Xing
377. Main areas detection on tennis courts
-
378. Tolerant Semantic Segmentation for Aerial Logistics
- S Wang, R Mascaro, L Teixeira
379. Ultra Light OCR Competition Technical Report
-
380. Evaluating the Performance of Synthetic Visual Data for Real-Time Object Detection
-
381. Enhancing the Prediction Accuracy of Solar Power Generation using a Generative Adversarial Network
- K Thonglek, K Ichikawa, K Takahashi
382. Development of integrated data augmentation automation tools for deep learning
-
383. Integrate YOLOv3 with a Self-attention Mechanism for Underwater Object Detection Based on Forward-looking Sonar Images
-
384. Algoritmo de clasificación de lesiones en exámenes mamográficos
-
385. Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net
- S Nofallah, S Mehta
386. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
-
387. Facial recognition as a tool to identify Roman emperors: towards a new methodology
-
388. Assessing the Feasibility and Performance of Real-Time Semantic Segmentation in an Industrial IoT use case
-
389. Attention-based Interpretability with Concept Transformers
- M Rigotti, C Miksovic, I Giurgiu, T Gschwind
390. IRT-GAN: A generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography
- L Cheng, S Xie, M Kersemans
391. SBDF-Net: A versatile dual-branch fusion network for medical image segmentation
-
392. Evaluating generic AutoML tools for computational pathology
- LO Schwen, C Geißler
393. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation
-
394. Automated Quantification of Occupant Posture and Shoulder Belt Fit Using Safety Specific Key Points
-
395. Panoptic Segmentation of Animal Fibers
- O Rippel
396. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus
-
397. Geometric Computer Vision Techniques for Scene Reconstruction
-
398. Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)
- F Akhyar, EN Furqon, CY Lin
399. Detecting COVID-19 Opacity in X-ray Images Using YOLO and RetinaNet Ensemble
- A Singhal
400. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …
-
401. Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia
- A Hua, Y Shen
402. Comparison of Segmentation Methods in Analysis of MR and CT Images of Pediatric Spine
- J Mikulka, D Chalupa, M Kolařík, K Říha
403. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
- S Koehler, T Hussain
404. Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
- V Thambawita, K Glette
405. Artificially Intelligent Food Assistant for the Visually Impaired
-
406. Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma
- C Chen, C Chen
407. 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
408. Localized Randomized Smoothing for Collective Robustness Certification
- J Schuchardt, T Wollschläger, A Bojchevski
409. Automatická detekce pózy člověka pomocí neuronových sítí
-
410. Instance Segmentation of Handwritten Text On Historical Document Images Using Deep Learning Approaches
-
411. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
-
412. Re-Identificação de veículos em uma rede de câmeras não sobrepostas
-
413. TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
- R Ghosh, F Bovolo
414. 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
415. Photovoltaics Plant Fault Detection Using Deep Learning Techniques
-
416. Body Part Regression for CT Images
-
417. Systém sledování očních pohybů založený na neuronových sítích
-
418. Segmentation of Polyp Instruments using UNet based deep learning model
-
419. A Battery-Powered Friend: Towards Embedded Emotion Recognition
-
420. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
-
421. Identificación de etiquetas en líneas de manufactura
-
422. An Image Augmentation Method Based on Limited Samples for Object Tracking Based on Mobile Platform
- Z Wang
423. Analysis of medical images using deep learning
-
424. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors
- D Bol, C De Vleeschouwer
425. Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging
- F Hyder
426. ECCV 2022 Seasons in Drift Challenge Fact sheet
-
427. A comparative study between vision transformers and CNNs in digital pathology
- L Deininger, B Stimpel, A Yuce
428. Obstacle Detection for BVLOS Drones
-
429. FINet: An Insulator Dataset and Detection Benchmark Based on Synthetic Fog and Improved YOLOv5
- L Pei
430. Training An Embedded Object Detector For Industrial Settings Without Real Images
- C Crispim-Junior
431. МЯГКИЕ ИЗМЕРЕНИЯ И ВЫЧИСЛЕНИЯ
-
432. Adaptive Domain Generalization for Digital Pathology Images
-
433. Synthetic Data Generation for the Development of 2D Gel Electrophoresis Protein Spot Models
-
434. Deepfake Detection/Author Martin Schicklgruber, BSc
-
435. Swin Transformer for COVID-19 Infection Percentage Estimation from CT-Scans
- S Chaudhary
436. Change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network
- PK Singh
437. Local Climate Zone Classification Using Multi-Scale Convolutional Neural Networks
-
438. Feature pyramid network with self-guided attention refinement module for crack segmentation
- JCH Ong, SLH Lau, MZP Ismadi
439. A Comparative Study on Performance Improvement for Camouflaged Object Detection
-
440. Source Camera Model Identification
- S Mandelli, N Bonettini, P Bestagini
441. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
-
442. 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
443. MobileNet SSD: étude d'un détecteur d'objets embarquable entraîné sans images réelles
- C Crispim-Junior
444. Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
- S Zabihi, E Rahimian, SK Sethi
445. Ridge-following control for agricultural tractors using deep learning and stereo camera
-
446. Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma
- J Smith
447. CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound
- Y Li, G Jia, R Ge, Q Jin
448. Applying computer vision to digitised natural history collections for climate change research: Temperature‐size responses in British butterflies
- AF de Siqueira, SJ Brooks
449. Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
- H Woo
450. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition
- B Huang
451. 基于编码-解码器架构的光场深度估计方法
-
452. Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
- G Humblot-Renaux
453. Differentiable data augmentation with Kornia
- E Riba, D Mishkin, F Moreno
454. Robust Molecular Image Recognition: A Graph Generation Approach
- Y Qian, Z Tu, J Guo, CW Coley
455. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition
- Y Gao
456. Studying deep learning models for manipulated face detection
-
457. SCSS-Net: solar corona structures segmentation by deep learning
- Š Mackovjak
458. Augraphy: A Data Augmentation Library for Document Images
- S Larson
459. Wheat spikes counting using object-level data augmentation
- A Zaji, Z Liu, G Xiao, P Bhowmik
460. Mobile Object Tracking with Siamese Neural Network
- V Borsuk
461. Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models
- D Zhang, Z Ge
462. TINYCD: A (NOT SO) DEEP LEARNING MODEL FOR CHANGE
-
463. Assessing household damages using multi-model deep learning pipeline
- F KIYIKÇI, E Koşar
464. Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
- S Paul, S Ganju
465. Multi-view automated chest radiography interpretation
- P Jansson
466. Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images
- YC Wei, CCH Hsu, CC Hsu
467. High-resolution photoacoustic microscopy with deep penetration through learning
- S Cheng, Y Zhou, J Chen, H Li, P Lai
468. Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
- G Salomon, R Laroca, D Menotti
469. Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images
- X Wang
470. MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations
- J Zhang
471. Defect detection in welding radiographic images based on semantic segmentation methods
-
472. Underwater Image Enhancement With Reinforcement Learning
-
473. What augmentations are sensitive to hyper-parameters and why?
- CM Awais, IEI Bekkouch, AM Khan
474. Approach to weld segmentation and defect classification in radiographic images of pipe welds
-
475. Data Labeling Impact on Deep Learning Models in Digital Pathology: a Breast Cancer Case Study
- K Benaggoune, Z Al Masry
476. Calibrated Selective Classification
- A Fisch, T Jaakkola
477. Segment Augmentation and Differentiable Ranking for Logo Retrieval
-
478. Comparing Non-Bayesian Uncertainty Evaluation Methods in Chromosome Classification by Using Deep Neural Networks
-
479. Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset
- T Boston, A Van Dijk, PR Larraondo, R Thackway
480. Fine-Scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs
- BC Gonçalves, HJ Lynch
481. Chest X-Rays Abnormalities Localization and Classification Using an Ensemble Framework of Deep Convolutional Neural Networks
- QC Nguyen, QV Nguyen
482. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas
-
483. Deep local directional embeddings para detección de objetos
-
484. Artificial colorization of digitized microfilms: a preliminary study
- T Clérice, A Pinche
485. Multilevel feature fusion in digital pathology
- T Pahikkala
486. Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images
- A Roshan
487. Breast Tumor Cell Nuclei Segmentation in Histopathology Images using EfficientUnet++ and Multi-organ Transfer Learning
-
488. Semantic segmentation of explosive volcanic plumes through deep learning
- TC Wilkes, TD Pering
489. Depth Estimation of Martian Surface using ISRO's MARS Color Camera Images
-
490. 3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
- MJA Girard, SK Panda, TA Tun
491. Object detection in automotive vehicle domain based on real and synthetic data
-
492. Pothole Detection Using Deep Learning and Area Assessment Using Image Manipulation
-
493. Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study
- J Krois
494. Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs
- S Mandelli, N Bonettini, P Bestagini
495. Deepfake detection using neural networks
-
496. Data Augmentation Methods For Object Detection and Segmentation In Ultrasound Scans: An Empirical Comparative Study
- AF Al-Battal
497. A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach
- S Tan, X Zhang, L Yu
498. Estimation of patient's angle from skull radiographs using deep learning
-
499. Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
- L Jiang, CC Loy
500. Esophageal virtual disease landscape using mechanics-informed machine learning
- S Halder, J Yamasaki, S Acharya
501. Using X-ray Image Processing Techniques to Improve Pneumonia Diagnosis based on Machine Learning Algorithms
- PM El Kafrawy
502. Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components
- X Yang
503. Image Segmentation Losses with Modules Expressing a Relationship Between Predictions
- P Hurtik, V Molek
504. On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning
- F Ferreira, RT Schirrmeister
505. Improving wheat head detection: a data-centric approach by domain variance reduction
- A Lad, MS Raval
506. Forecasting with gradient boosted trees: augmentation, tuning, and cross-validation strategies: Winning solution to the M5 Uncertainty competition
- RD Wolfinger
507. Netting Damage Detection for Marine Aquaculture Facilities Based on Improved Mask R-CNN
-
508. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
- S Ablameyko
509. From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation
- G Yang
510. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
-
511. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision.
- S Poudel, SW Lee
512. Plant and Animal Species Prediction at Certain Locations with Convolutional Neural Networks
-
513. GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification
-
514. Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors
- M Caballo, MJM Broeders
515. CATs++: Boosting Cost Aggregation with Convolutions and Transformers
- S Cho, S Hong, S Kim
516. Investigation of Methods for Increasing the Efficiency of Convolutional Neural Networks in Identifying Tennis Players
- NA Andriyanov
517. Season-invariant GNSS-denied visual localization for UAVs
- F Verdoja, V Kyrki
518. End-to-end Multiple Instance Learning with Gradient Accumulation
- N Koriakina, N Sladoje
519. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus
-
520. Using Neural Encoder-Decoder Models With Continuous Outputs for Remote Sensing Image Captioning
- R Ramos, B Martins
521. Autonomous unmanned aerial vehicles and deep learning-based damage detection
- DH Kang
522. Anomaly Detection for In situ Marine Plankton Images
-
523. A generalized framework for recognition of expiration dates on product packages using fully convolutional networks
- SC Ahn
524. The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
-
525. Exemplar-guided low-light image enhancement
- Y Shi
526. An interactive system for muscle and fat tissue identification of the lumbar spine using semantic segmentation
- R Bieck
527. Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale
- S Illarionova, D Shadrin, V Ignatiev
528. Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution
- A Ukaye
529. A novel ground truth multispectral image dataset with weight, anthocyanins, and Brix index measures of grape berries tested for its utility in machine learning pipelines
- PJ Navarro
530. An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5
- D Canedo, P Fonseca, P Georgieva
531. Autonomous Coordinated Control of the Light Guide for Positioning in Vitreoretinal Surgery
- Y Koyama, MM Marinho
532. GreedyCenters: Satellite imagery adaptive sampling method for artificial neural networks training
-
533. Model Faster R-CNN uczony na syntetycznych obrazach
-
534. Analyzing Deep Learning Models' Generalization Ability Under Different Augmentations on Deepfake Datasets
- S Varli
535. The Self-Supervised Spectral–Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery
- X Zhang, MA Lee
536. LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation
- A Almin, BR Kiran
537. Data Augmentation for JPEG Steganalysis
- Y Yousfi, J Fridrich
538. PRNet: Progressive Resolution based Network for Radiograph based disease classification
-
539. A Robust System to Detect and Explain Public Mask Wearing Behavior
- A Gupta, B Srivastava
540. Waste detection in Pomerania: non-profit project for detecting waste in environment
- S Majchrowska, A Mikołajczyk, M Ferlin
541. Photovoltaics Plant Fault Detection Using Deep Learning Techniques. Remote Sens. 2022, 14, 3728
-
542. Augmentation Method for anti-vibration hammer on power transimission line based on CycleGAN
-
543. Application of one-stage instance segmentation with weather conditions in surveillance cameras at construction sites
- YB Kim
544. Local climate zone classification using a multi-scale, multi-level attention network
- M Kim
545. ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
-
546. Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image Segmentation
- A Lad, S Soumya
547. Data Augmentations for Document Images.
- Y Lee, S Kim
548. Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device …
- A Lad
549. Systematic investigation of Basic Data Augmentation Strategies on Histopathology Images
-
550. Satellite Image Segmentation of Gold Exploration Areas in the Amazon Rainforest Using U-Net
- JMC Boaro
551. Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning
- I Reid
552. The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images
- SP Mohanty, EA Scuccimarra
553. Improving CNN roof segment detection by dataset extension using 3D city models
-
554. Semantic Segmentation of Iron Ore Pellets in the Cloud
-
555. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS
- T DELZESCAUX
556. Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head …
- K Shin, K Cho
557. Multi-Label Retinal Disease Classification using Transformers
- H AlMarzouqi, P Liatsis
558. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
- H Baumgartl, R Buettner
559. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
- K Hammoudi, H Benhabiles
560. Reducing redundancy in Semantic-KITTI: Study on data augmentations within Active Learning
- A Almin, BR Kiran
561. Treinando Rede Neural Profunda com Divisão Proporcional de Imagens para Segmentação de Estruturas da Retina
- JDS de Almeida
562. Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
- K Najafian, M Eramian
563. A Review of Remote Sensing Applications on Very High-Resolution Imagery Using Deep Learning-Based Semantic Segmentation Techniques
- P Borba, E de Souza Bias, NC da Silva
564. Deep Learning for Image Steganography and Steganalysis Challenges, Advances, and Opportunities
- Y YOUSFI
565. Considering multiple failure modes: A comparison of probabilistic analysis and multi-modal optimization for a 3D slope stability case stud y
- S Javankhoshdel
566. Indirect Volume Estimation for Acute Ischemic Stroke from Diffusion Weighted Image Using Slice Image Segmentation
- JW Jang
567. Towards Explainable Person Re-Identification
- T Truong
568. Detection and prediction of hypothermia in ICUs using thermal images
- M Wason, T Sethi
569. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
- M Fanaei
570. 机器视觉应用中的图像数据增广综述
-
571. CASS Studies
-
572. Multiple flying bird and bird keypoint detection toolbox for processing bird videos
- R Ronsse
573. Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives
- K Alrfou, A Kordijazi, T Zhao
574. Cell Nuclei Segmentation in Cryonuseg dataset using Nested Unet with EfficientNet Encoder
- T Le Dinh
575. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
- MA Ottom, HA Rahman, ID Dinov
576. Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot …
- R Brüngel, CM Friedrich
577. TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics
- S Graham, QD Vu, M Jahanifar
578. A spatial AI-based agricultural robotic platform for collision avoidance and disease detection in crops
-
579. 改进 U-Net3+ 与跨模态注意力块的医学图像融合
-
580. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
-
581. TINYCD: A (Not So) Deep Learning Model For Change Detection
- A Codegoni, A Ferrari
582. Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
- Z Chen
583. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- FVM Perez
584. Bengali Handwritten Grapheme Recognition Using CutMix-Based Data Augmentation
-
585. A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
- F Maleki, K Najafian, K Ovens
586. Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
- N Koriakina, N Sladoje, J Lindblad
587. Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification
-
588. Domain Adaptation for Multi-Organ Nuclei Segmentation
-
589. Fiche de confidentialité et de diffusion du mémoire
-
590. Improving Adversarial Robustness with Data-Centric Learning
- C Lin, C Shen
591. Transformers for breast cancer classification
-
592. ForgeryNet--Face Forgery Analysis Challenge 2021: Methods and Results
- L Sheng, J Shao, Z Liu
593. ПРИМЕНЕНИЕ АУГМЕНТАЦИИ ДЛЯ УЛУЧШЕНИЯ КАЧЕСТВА КЛАССИФИКАЦИИ
-
594. On-line hazard detection on lunar digital elevation maps using semantic segmentation
- R Moghe, R Zanetti
595. Capturing Model Uncertainty with Data Augmentation in Deep Learning
-
596. Battery Pack Part Detection and Disassembly Verification Using Computer Vision
-
597. Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms
- MP Schilling
598. A Visual-Range Cloud Cover Image Dataset for Deep Learning Models
- M Umair, MA Hashmani
599. Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
- UH Kim
600. Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks
- HR Torres, P Morais
601. Deep Learning Based Crop Row Detection
-
602. Pre-trained Backbones Effect on Nuclei Segmentation Performance
- N Settouti
603. Supplementary Materials for “End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI”
- SC Partridge, H Rahbar
604. Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects
- T Truong, S Yanushkevich
605. A deep learning pipeline for breast cancer ki-67 proliferation index scoring
- K Benaggoune, ZA Masry
606. Evaluating the application of a computer vision model in the customer service chatbot of an electric utility
- GM De Holanda
607. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy
- B Fan
608. Data Augmentation for Building Footprint Segmentation in SAR Images: An Empirical Study
- P Samczyński, A Gromek
609. Spatial-Net for Human-Object Interaction Detection
- A Mohammed
610. Task-Driven Data Augmentation for Vision-Based Robotic Control
- SP Chinchali
611. Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs
- HM Sarhan, S Selim, M Elattar
612. Towards a framework for the democratisation of deep semantic segmentation models
- J Heras
613. Balanced Masked and Standard Face Recognition
- D Qi, W Tan
614. A multi-modal approach to forensic audio-visual device identification
-
615. FilterNet: Self-Supervised Learning for High-Resolution Photo Enhancement
- J Fernández-Conde
616. Generative augmentation to improve lung nodules detection in resource-limited settings
- AA Lobantsev
617. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- AY Wagh
618. Comparison of the MultiRes U-Net and the classical U-Net on the performance of kidney and kidney tumor segmentation
-
619. Automatic Detection of Underground Objects in Ground Penetrating Radar Images using Machine Learning
-
620. Improving Machine Learning Approaches to Seismic Fault Imaging Through Training Augmentation
-
621. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
- HJ Yang
622. A CNN-based detector for video frame-rate interpolation
-
623. Automatic Snake Classification using Deep Learning Algorithm.
-
624. xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Imagery
- F Paolo, TT Lin, R Gupta, B Goodman, N Patel
625. An Empirical Study of Vision Transformers for Cervical Precancer Detection
- S Angara, P Guo, S Antani
626. Targeting the zebrafish eye using deep learning-based image segmentation
-
627. Weakly-Supervised Crack Detection
- Y Inoue
628. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
-
629. A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
- HA Shah, F Saeed, S Yun, A Paul
630. Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
- F Maleki, K Ovens, R Gupta, C Reinhold
631. Probabilistic deep learning methods for capturing uncertainty in SAR-based water segmentation maps
-
632. Classification of chest x-ray images using machine learning techniques
- A Ahmed, G Tharwat, B Bouallegue, M Khattab
633. Deep Learning-based Object Understanding for Robotic Manipulation
- JB Song
634. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
- Y Inoue
635. Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study
-
636. Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures
- O Güley, S Pati, S Bakas
637. Intracranial hemorrhage subtype classification using learned fully connected separable convolutional network
- S Korra, NR Soora
638. Towards Rotation Invariance in Object Detection
- A Kalra, B Brown
639. Recognition Recipes with Deep Machine Learning
-
640. Brain tumor classification on the patient level using attention-based AI methods and multi-sequences MRI
- B Tuchinov, E Pavlovskiy
641. Segmentation of Polyps in Gastrointestinal Tract Images
-
642. Exploration of learning techniques to improve the spatial resolution of orthoimages
-
643. Deep Learning object detection architectures in ADAS
- U Otamendi Etxabe
644. Maskeli unas, R.; Misra, S. Few-Shot Learning with a Novel Voronoi Tessellation-Based Image Augmentation Method for Facial Palsy Detection
- OO Abayomi-Alli, R Damaševicius
645. Deep Learning Pipeline for Chromosome Segmentation
- T Gotthans
646. Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
- P Fraccaro, LEC La Rosa
647. Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
- O Peker
648. NoGAN: Deblurring Images without Adversarial Training
-
649. ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition
- T Tamaki
650. Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
- HC Chen
651. Multi-Stream Deep Convolutional Neural Network for PET Preform Surface Defects Detection and Classification
-
652. A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification
-
653. deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques
- I Sa, JY Lim, HS Ahn, B MacDonald
654. A Self-Supervised Contrastive Learning Approach for Whole Slide Image Representation in Digital Pathology
-
655. Machine learning of fake micrographs for automated analysis of crystal growth process
- T Suemasu
656. Image Segmentation of Adenovirus Particles in Food Vacuoles of Eukaryotic Organisms
-
657. Ensemble Deep Learning for Human-Object Interaction Detection
- A Mohammed
658. GAN-based Defect Image Generation for Imbalanced Defect Classification of OLED panels
-
659. Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism
- J Xi
660. Context-Unsupervised Adversarial Network for Video Sensors
- M Pardàs
661. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS
- M Organokov
662. Multi-Axis 3D Printing Defect Detecting by Machine Vision with Convolutional Neural Networks
-
663. Woodscape Fisheye Object Detection for Autonomous Driving--CVPR 2022 OmniCV Workshop Challenge
- S Ramachandran, G Sistu, VR Kumar
664. An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology
- I Bolon, L Picek, AM Durso, G Alcoba
665. Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks
- TS Siadari, KH Huh
666. Spectral decoupling for training transferable neural networks in medical imaging
- A Rannikko
667. GAFL: Global adaptive filtering layer for computer vision
- V Shipitsin, I Bespalov, DV Dylov
668. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms
-
669. Data Augmentation with Illumination Correction in Sematic Segmentation
-
670. Helping Biologists Find Whales: AI-in-the-Loop Support for Environmental Dataset Creation
- M Gheibi
671. Test Time Augmentation for Cross-lingual Text Classification
-
672. Tyche at Factify 2022: Fusion Networks for Multi-Modal Fact-Checking
-
673. Human Object Ownership Tracking in Autonomous Retail
- JDLDM Falcão
674. An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet
- I de la Torre-Diez
675. Document Recapture Detection Based on a Unified Distortion Model of Halftone Cells
- C Chen, WH Mow, J Huang
676. Predicting biochemical recurrence of prostate cancer with artificial intelligence
- H Pinckaers
677. Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensities in Different Datasets of Brain MRI
- R Maulana, MF Rachmadi
678. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images
-
679. ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
- N Ghamsarian
680. Exposing DeepFakes using Siamese Training
- C Nehate
681. Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection
- Z Zhang, S Zhong, A Fares
682. Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep Learning Model from Remote Sensing Images
-
683. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
- Q Liu, M Kampffmeyer, R Jenssen
684. Deep Learning Classification Experiments on the Texas Colorado River Delta
- J Gibeaut
685. Classifying Sounds in Polyphonic Urban Sound Scenes
- J Abeßer
686. A self-supervised learning approach for astronomical images
-
687. Region-Based Split Octonion Networks with Channel Attention Module for Tuna Classification
- CS Kumar, S Sureshkumar
688. Using deep learning for food recognition
-
689. Core box image recognition and its improvement with a new augmentation technique
- EE Baraboshkin, DM Orlov
690. Cost Aggregation Is All You Need for Few-Shot Segmentation
- S Hong, S Cho, S Kim
691. Распознавание отражающих горизонтов с помощью сверточной нейронной сети
-
692. Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
- DJ Ho, MH Chui, CM Vanderbilt, J Jung
693. Object Detection Frameworks for Real-Time, Scale-Invariant Face Mask Detection
- LPB Facun, MJC Baculo
694. Rubik's Cube layout construction and validation algorithm
-
695. Bag of Tricks for Training Brain-Like Deep Neural Networks
- A Riedel
696. A multi-category intelligent method for the evaluation of visual comfort in underground space
- Y Gui
697. Automated Annotation of in Vitro Fertilization Time-Lapse Using Deep Neural Network
- A Erwin, M Galinium
698. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
- C Yaras, B Huang, K Bradbury, JM Malof
699. Brachial Plexus Nerve Trunk Recognition From Ultrasound Images: A Comparative Study of Deep Learning Models
- Y Wang
700. Segmentation of Polyp Instruments using UNet based deep learning model
-
701. Weakly-supervised individual human cell classification
-
702. Variational Beam Search for Learning with Distribution Shifts
- A Boyd, P Smyth
703. Joint Track Machine Learning: An autonomous method for measuring 6DOF TKA kinematics from single-plane x-ray images
- A Jensen, W Burton
704. Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation
- SA Hicks, P Halvorsen
705. Estudio del uso de redes neuronales 3D para el desarrollo de sistemas inteligentes para la colonoscopia
-
706. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
707. Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology
-
708. DOCTEUR EN INFORMATIQUE
- C DOUARRE
709. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning
-
710. Spectral decoupling allows training transferable neural networks in medical imaging
- A Rannikko
711. Potholes Detection Using Deep Learning and Area Estimation Using Image Processing
- S Kharel, KR Ahmed
712. Digital tongue image analyses for health assessment
- Y Duan, D Xu
713. HAGDAVS: Height-Augmented Geo-Located Dataset for Detection and Semantic Segmentation of Vehicles in Drone Aerial Orthomosaics
- JR Ballesteros, G Sanchez-Torres, JW Branch-Bedoya
714. Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM
- S Singla
715. Real-Time Image Registration via A Deep Leaning Approach for Correlative X-ray and Electron Microscopy
- Y Luo, M Cherukara
716. Deep Neural Networks for Weed Detections Towards Precision Weeding
- A Rahman, Y Lu, H Wang
717. Orthotic Prescription for Pediatric Flexible Flat Feet using Convolutional Neural Networks
- JH Suh
718. Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting
- HR Torres, B Oliveira
719. Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey
- B Zhou, X Yang, WJ Curran, T Liu
720. Data Driven Style Transfer for Remote Sensing Applications
- EA Stump
721. Leveraging High-Frequency Components for Deepfake Detection
- N Mejri, K Papadopoulos
722. Automatic kidney segmentation using 2.5 D ResUNet and 2.5 D DenseUNet for malignant potential analysis in complex renal cyst based on CT images
- T Siriborvornratanakul
723. An Impact of Data Augmentation Techniques on the Robustness of CNNs
- K Szyc
724. Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation
- M Liu
725. Image-based Stroke Assessment for Multi-site Preclinical Evaluation of Cerebroprotectants
- RP Cabeen, F Hyder
726. Automated region split algorithm with pre-trained CNN model for tuna classification
- CS Kumar
727. Focused Attention in Transformers for interpretable classification of retinal images
- C Playout, R Duval, F Cheriet
728. Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool
- PJ Pickhardt, PM Graffy
729. Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
- N Marini, S Marchesin, S Otálora, M Wodzinski
730. Video monitoring over anti-decubitus protocol execution with a deep neural network to prevent pressure ulcer
-
731. Image-Based Wheat Fungi Diseases Identification by Deep Learning. Plants 2021, 10, 1500
-
732. Detection and Counting Method of Pigs Based on YOLOV5_Plus: A Combination of YOLOV5 and Attention Mechanism
-
733. Normal hatching rate estimation for bulk samples of Pacific bluefin tuna (Thunnus orientalis) eggs using deep learning
- N Ienaga
734. Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke
-
735. Semantic Segmentation (U-Net) of Archaeological Features in Airborne Laser Scanning—Example of the Białowieża Forest
- R Zapłata, M Mielcarek
736. Transformer-Based Deep Monocular Visual Odometry for Edge Devices
-
737. Observations and Geoinformation
- J Praks, R Uiboupin, T Tamm
738. Learning an augmentation strategy for sparse datasets
- RB Arantes, G Vogiatzis, DR Faria
739. Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism
- PK Buttar, MK Sachan
740. SAU-NET: Scale Aware Polyp Segmentation using Encoder-Decoder Network
- P Sharma
741. Online Monitoring of Object Detection Performance During Deployment
- QM Rahman, N Sünderhauf
742. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH
- T Delzescaux
743. Self-Supervised Learning for Fine-Grained Image Classification
- R Grandhe
744. Deep Image Denoising with Adaptive Priors
- B Jiang, G Lu
745. Learning from few examples: Classifying sex from retinal images via deep learning
- A Berk
746. 딥러닝을 활용한 감자 수확량 모니터링 시스템 설계
-
747. Automatic lesion boundary detection in dermoscopy
-
748. Detecting Deepfakes with Self-Blended Images
- K Shiohara, T Yamasaki
749. xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
- F Paolo, TT Lin, R Gupta, B Goodman, N Patel
750. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
- S Heindorf
751. 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound
- D Gabauer
752. Image-Based Analysis of Dense Particle Mixtures via Mask R-CNN
-
753. FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
- V Borsuk, O Kupyn, T Martyniuk
754. A self-supervised contrastive learning approach for whole slide image representation in digital pathology
- S Hemati, M Babaie
755. ChaLearn LAP Seasons in Drift Challenge: Dataset, Design and Results
- AS Johansen, JCSJ Junior, K Nasrollahi
756. Data Augmentation for Tomato Detection and Pose Estimation
-
757. Effectiveness of Data Augmentation in Multi-class Face Recognition
- TF Abidin
758. Efficient Super-Resolution For Chest X-rays
- KS Krishnan, KS Krishnan
759. Segmentación objeto-fondo mediante redes convolucionales
-
760. Unifying Evaluation of Machine Learning Safety Monitors
- RS Ferreira, J Guiochet
761. Supplementary Material: Automated Detection and Classifica-tion of Oral Lesions Using Deep Learning to Detect Oral Poten-tially Malignant Disorders
- MS Tekkesin, O Ergen
762. Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning
- Z Lin, R Zhong
763. Advanced-ExtremeNet: Combined with Depthwise Separable Convolution for the Detection of Steel Bars
-
764. Background-Foreground Segmentation for Interior Sensing in Automotive Industry
- M Rottmann, H Gottschalk
765. Semantic drift prediction for class incremental deep metric learning
- SJ Ruan
766. Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models
- D Guevara, M Earles
767. Small Drone Detection with Image Tiling in Counter Autonomous System Context
-
768. Attentive Manifold Mixup for Model Robustness
-
769. World robot challenge 2020–partner robot: a data-driven approach for room tidying with mobile manipulator
- T Matsushima
770. SynFace: Face Recognition with Synthetic Data (Supplementary Materials)
- H Qiu, B Yu, D Gong, W Liu, D Tao
771. Wind speed estimation using novelty hybrid adaptive estimation model based on decomposition and deep learning methods (ICEEMDAN-CNN)
- C Emeksiz, M Tan
772. OCR-based Inventory Management Algorithms Robust to Damaged Images
- D Kim, D Cho
773. Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation …
- KH Chen, OKS Lee
774. Comparative study of xAI layer-wise algorithms with a Robust Recommendation framework of Inductive Clustering for Polyp Segmentation and Classification
-
775. Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning
-
776. An Experimental Study of Semantic Continuity for Deep Learning Models
- S Wu, L Chen
777. A Novel Deep Learning Model for Sea State Classification Using Visual-Range Sea Images
- M Umair, MA Hashmani
778. Weighted average ensemble-based semantic segmentation in biological electron microscopy images
- HA Kestler, C Read
779. Automatic phantom test pattern classification through transfer learning with deep neural networks
- J Solomon, E Samei
780. Использование аугументаций при сегментации зданий на спутниковых снимках с помощью нейронной сети U-NET
- СВ Абламейко
781. Improving Semi-Supervised Learning for Audio Classification with FixMatch. Electronics 2021, 10, 1807
- S Grollmisch, E Cano
782. Forensic Analysis of Synthetically Generated Western Blot Images
- S Mandelli, D Cozzolino, ED Cannas
783. CATKit: a Color and Thermal Computer Vision toolKit and Benchmark for Cross-Modal Similarity and Semantic Segmentation
- WR Treible
784. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches
-
785. Self Supervised Learning for Object Localisation in 3D Tomographic Images
- Y Zharov, A Ershov
786. DeepFake detection algorithm based on improved vision transformer
- YJ Heo, WH Yeo, BG Kim
787. Measurement of hybrid rocket solid fuel regression rate for a slab burner using deep learning
- G 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 29.6k
OpenMMLab Detection Toolbox and Benchmark
deepinsight/insightface 23.4k
State-of-the-art 2D and 3D Face Analysis Project
spmallick/learnopencv 21.3k
Learn OpenCV : C++ and Python Examples
lukas-blecher/LaTeX-OCR 12.7k
pix2tex: Using a ViT to convert images of equations into LaTeX code.
PaddlePaddle/PaddleSeg 8.7k
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 8.1k
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
open-mmlab/mmpose 5.8k
OpenMMLab Pose Estimation Toolbox and Benchmark.
pytorch/ignite 4.5k
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
NVlabs/imaginaire 4.0k
NVIDIA's Deep Imagination Team's PyTorch Library
open-mmlab/mmclassification 3.5k
OpenMMLab Pre-training Toolbox and Benchmark
ml-tooling/ml-workspace 3.4k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
catalyst-team/catalyst 3.3k
Accelerated deep learning R&D
View all open source projects on GitHub