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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
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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. Angiodysplasia detection and localization using deep convolutional neural networks
- AA Shvets, VI Iglovikov, A Rakhlin
5. Synthetic data for deep learning
- SI Nikolenko
6. Transformation-consistent self-ensembling model for semisupervised medical image segmentation
- X Li, L Yu, H Chen, CW Fu, L Xing
7. 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
8. COVID-19 prediction and detection using deep learning
- M Alazab, A Awajan, A Mesleh
9. Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
- G Marques, D Agarwal, I de la Torre Díez
10. Self-supervised learning for dense depth estimation in monocular endoscopy
- X Liu, A Sinha, M Unberath, M Ishii, GD Hager
11. Deep convolutions for in-depth automated rock typing
- EE Baraboshkin, LS Ismailova, DM Orlov
12. Video face manipulation detection through ensemble of cnns
- N Bonettini, ED Cannas, S Mandelli
13. Camera-to-robot pose estimation from a single image
- TE Lee, J Tremblay, T To, J Cheng
14. Semi-supervised segmentation of salt bodies in seismic images using an ensemble of convolutional neural networks
- Y Babakhin, A Sanakoyeu, H Kitamura
15. Dense dilated convolutions' merging network for land cover classification
- Q Liu, M Kampffmeyer, R Jenssen
16. Urban sound tagging using convolutional neural networks
- S Adapa
17. U-NetPlus: a modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instrument
- SM Hasan, CA Linte
18. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
- Á Casado-García, C Domínguez
19. Camera model identification using convolutional neural networks
- A Kuzin, A Fattakhov, I Kibardin
20. StandardGAN: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization
- O Tasar, Y Tarabalka, A Giros
21. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
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22. ImageNet pre-trained CNNs for JPEG steganalysis
- Y Yousfi, J Butora, E Khvedchenya
23. Automatic salt deposits segmentation: A deep learning approach
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24. U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images
- SMK Hasan, CA Linte
25. Monitoring sugar crystallization with deep neural networks
- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu
26. Breast tumor cellularity assessment using deep neural networks
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27. General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
- L Nanni, S Brahnam, S Ghidoni, G Maguolo
28. Data augmentation from RGB to chlorophyll fluorescence imaging Application to leaf segmentation of Arabidopsis thaliana from top view images
- N Sapoukhina, S Samiei, P Rasti
29. Severity assessment and progression prediction of COVID-19 patients based on the LesionEncoder framework and chest CT
- Y Feng, S Liu, Z Cheng, J Quiroz, P Chen, Q Lin
30. Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
- G Camps-Valls, D Tuia, XX Zhu, M Reichstein
31. Easyaug: An automatic textual data augmentation platform for classification tasks
- S Qiu, B Xu, J Zhang, Y Wang, X Shen
32. Pneumothorax segmentation with effective conditioned Post-Processing in chest X-Ray
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33. A framework for knowing who is doing what in aerial surveillance videos
- F Yang, S Sakti, Y Wu, S Nakamura
34. The inclusive images competition
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35. Moiré pattern removal via attentive fractal network
- D Xu, Y Chu, Q Sun
36. Image-based high-throughput detection and phenotype evaluation method for multiple lettuce varieties
- J Du, X Lu, J Fan, Y Qin, X Yang
37. Identifying melanoma images using efficientnet ensemble: Winning solution to the siim-isic melanoma classification challenge
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38. Bayesian feature pyramid networks for automatic multi-label segmentation of chest X-rays and assessment of cardio-thoratic ratio
- R Solovyev, I Melekhov, T Lesonen
39. The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
- MA Kutlugün, Y Sirin
40. 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
41. Road segmentation using u-net architecture
- NYQ Abderrahim, S Abderrahim
42. Ensemble size classification in Colombian Andean string music recordings
- S Grollmisch, E Cano, FM Ángel
43. Learning accurate dense correspondences and when to trust them
- P Truong, M Danelljan, L Van Gool
44. Semantic segmentation of smartphone wound images: Comparative analysis of AHRF and CNN-based approaches
- A Wagh, S Jain, A Mukherjee, E Agu
45. Real-time tracking of guidewire robot tips using deep convolutional neural networks on successive localized frames
- I Ullah, P Chikontwe, SH Park
46. Daugnet: Unsupervised, multisource, multitarget, and life-long domain adaptation for semantic segmentation of satellite images
- O Tasar, A Giros, Y Tarabalka, P Alliez
47. Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation
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48. 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
49. A load frame for in situ tomography at PETRA III
- J Moosmann, DCF Wieland
50. Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images
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51. Road damage detection and classification with detectron2 and faster r-cnn
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52. Image Stylization for Robust Features
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53. Weighted ensemble object detection with optimized coefficients for remote sensing images
- A Körez, N Barışçı, A Çetin, U Ergün
54. Benchmark for generic product detection: a low data baseline for dense object detection
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55. The impact of padding on image classification by using pre-trained convolutional neural networks
- H Tang, A Ortis, S Battiato
56. Deep Depth From Aberration Map
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57. A novel approach to data augmentation for pavement distress segmentation
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58. Retinopathy diagnosis using semi-supervised multi-channel generative adversarial network
- Y Xie, Q Wan, G Chen, Y Xu, B Lei
59. A weak supervision machine vision detection method based on artificial defect simulation
- C Li, Y Huang, H Li, X Zhang
60. Speech driven talking face generation from a single image and an emotion condition
- SE Eskimez, Y Zhang, Z Duan
61. Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas
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62. Adapting Convolutional Neural Networks for Geographical Domain Shift
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63. An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
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64. Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms
- V Guryanova
65. Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
- F Maleki, N Muthukrishnan, K Ovens
66. An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
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67. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet
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68. Benchmark for generic product detection: a strong baseline for dense object detection
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69. Deep learning for retail product recognition: Challenges and techniques
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70. Use of images augmentation and implementation of doubly stochastic models for improving accuracy of recognition algorithms based on convolutional neural …
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71. Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
- S Mandelli, N Bonettini, P Bestagini
72. A modular region and text line layout analysis system
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73. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
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74. A Deep learning approach to Hazard detection for Autonomous Lunar landing
- R Moghe, R Zanetti
75. An Efficient Solution for Semantic Segmentation of Three Ground‐based Cloud Datasets
- Q Song, Z Cui, P Liu
76. A flatter loss for bias mitigation in cross-dataset facial age estimation
- A Akbari, M Awais, Z Feng, A Farooq
77. Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains
- S Klein, A Quaas, J Quantius, H Löser, J Meinel
78. MixChannel: Advanced Augmentation for Multispectral Satellite Images
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
79. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery Using Deep Learning Techniques
- O Baghirli, I Ibrahimli, T Mammadzada
80. Method for Whale Re-identification Based on Siamese Nets and Adversarial Training
- W Wang, RA Solovyev, AL Stempkovsky
81. Multi-class brain tumor segmentation via multi-sequences mri mixture data preprocessing
- A Letyagin, S Golushko, M Amelin
82. DCNN-based Screw Classification in Automated Disassembly Processes.
- E Yildiz, F Wörgötter
83. Semi-automatic Manga Colorization Using Conditional Adversarial Networks.
- M Golyadkin, I Makarov
84. Segmentation model of the opacity regions in the chest X-rays of the Covid-19 patients in the us rural areas and the application to the disease severity
- H Tang, N Sun, Y Li
85. Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
- C Dasanayaka, MB Dissanayake
86. Arrow R-CNN for handwritten diagram recognition
- B Schäfer, M Keuper, H Stuckenschmidt
87. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
- A Signoroni, M Savardi, S Benini, N Adami
88. Estimating displaced populations from overhead
- A Hadzic, G Christie, J Freeman
89. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences
- AY Kondratiev, H Yaginuma, Y Okada
90. Landslide segmentation with u-net: Evaluating different sampling methods and patch sizes
- LP Soares, HC Dias, CH Grohmann
91. Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images
- G Pavoni, M Corsini, N Pedersen, V Petrovic
92. Automatic sorting of Dwarf Minke Whale underwater images
- DA Konovalov, N Swinhoe, DB Efremova, RA Birtles
93. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation
- V Groza, B Tuchinov, E Pavlovskiy
94. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
- N Mishima, T Kozakaya, A Moriya, R Okada
95. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets
- Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong
96. CRNNs for Urban Sound Tagging with spatiotemporal context
- A Arnault, N Riche
97. DivergentNets: Medical Image Segmentation by Network Ensemble
- V Thambawita, SA Hicks, P Halvorsen
98. Convolutional Neural Network for Drowsiness Detection Using EEG Signals
- S Chaabene, B Bouaziz, A Boudaya, A Hökelmann
99. 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
100. MaskHunter: real-time object detection of face masks during the COVID-19 pandemic
- Z Cao, M Shao, L Xu, S Mu, H Qu
101. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
- H Chen, C Lian, L Wang
102. Flood detection with sentinel-2 satellite images in crisis management systems
- A Moumtzidou, M Bakratsas, S Andreadis
103. Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster
- S Back, S Lee, S Shin, Y Yu, T Yuk, S Jong
104. Exploring 2D data augmentation for 3D monocular object detection
- K Santhakumar, BR Kiran, T Gauthier
105. AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
- Y Yin, D Xu, X Wang, L Zhang
106. Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
107. Safe augmentation: Learning task-specific transformations from data
- I Baran, O Kupyn, A Kravchenko
108. IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
- Y Xie, L Xing, W Peng, Y Hu
109. Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing
- J You, Z Hu, C Peng, Z Wang
110. Contextual pyramid attention network for building segmentation in aerial imagery
- C Sebastian, R Imbriaco, E Bondarev
111. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection
- R Lõuk, A Tepljakov, A Riid
112. Augmentation-based object detection for winter time applications
- R Yagfarov, V Ostankovich
113. Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
- MN Rizve, S Khan, FS Khan
114. When texture matters: texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection
- E Wetzer, J Gay, H Harlin, J Lindblad
115. Urban Sound Classification: striving towards a fair comparison
- A Arnault, B Hanssens, N Riche
116. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images
- I Trimeche, F Rossant, I Bloch
117. A U-Net Based Approach for Automating Tribological Experiments
- B Staar, S Bayrak, D Paulkowski, M Freitag
118. Understanding the decisions of CNNs: An in-model approach
- I Rio-Torto, K Fernandes, LF Teixeira
119. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …
- СВ Кравченко, АВ Алексеев, ЮА Орлова
120. Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
- A Riabi, T Scialom, R Keraron, B Sagot
121. A review of medical image data augmentation techniques for deep learning applications
- P Chlap, H Min, N Vandenberg
122. Artificial Intelligence based identification of Total Knee Arthroplasty Implants
- S Ghose, S Datta, V Batta, C Malathy
123. On-line hazard detection algorithm for precision lunar landing using semantic segmentation
- R Moghe, R Zanetti
124. Multimodal Approach for DeepFake Detection
- M Lomnitz, Z Hampel-Arias
125. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images
- Q Liu, M Kampffmeyer, R Jenssen
126. A CNN-based length-aware cascade road damage detection approach
- H Xu, B Chen, J Qin
127. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography
- Y Tian, S Xu, L Guo, F Cong
128. Deep Learning object detection architectures in ADAS
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129. Digital Peter: Dataset, Competition and Handwriting Recognition Methods
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130. 残差密集相对平均 CGAN 的脑部图像配准
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131. DBA_SSD: A Novel End-to-End Object Detection Using Deep Attention Module for Helping Smart Device with Vegetable and Fruit Leaf Plant Disease Detection
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132. Built-in Elastic Transformations for Improved Robustness
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133. Efficient Palm-Line Segmentation with U-Net Context Fusion Module
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134. Deep-learning based segmentation of challenging myelin sheaths
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135. Point Proposal based Instance Segmentation with Rectangular Masks for Robot Picking Task
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136. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
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137. Neural Mesh Refiner for 6-DoF Pose Estimation
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138. Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images
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139. Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
- M Ryabinin, A Malinin, M Gales
140. Classification and understanding of cloud structures via satellite images with EfficientUNet
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141. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation
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142. An Affordable Image-Analysis Platform to Accelerate Stomatal Phenotyping During Microscopic Observation
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143. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus
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144. Geometric Computer Vision Techniques for Scene Reconstruction
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145. Self-supervised Audiovisual Representation Learning for Remote Sensing Data
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146. Improving deep learning sorghum head detection through test time augmentation
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147. The Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks
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148. Deepfake Detection Scheme Based on Vision Transformer and Distillation
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149. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …
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150. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
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151. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
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152. A Battery-Powered Friend: Towards Embedded Emotion Recognition
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153. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
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154. Identificación de etiquetas en líneas de manufactura
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155. Automatic fault mapping in remote optical images and topographic data with deep learning
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156. Analysis of medical images using deep learning
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157. Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models
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158. Image2SMILES: Transformer-based Molecular Optical Recognition Engine
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159. Early Detection of Malpositioned Catheters and Lines on Chest X-Rays using Deep Learning
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160. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review
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161. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors
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162. ClipAssistNet: bringing real-time safety feedback to operating rooms
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163. Obstacle Detection for BVLOS Drones
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164. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
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165. SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
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166. Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2
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167. Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation
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168. Densely Connected Feature Pyramid Network for Image Segmentation
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169. Feature-based image registration in structured light endoscopy
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170. Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local …
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171. Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing
- M Groh, Z Epstein, C Firestone, R Picard
172. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
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173. 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
174. SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation
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175. Principled Ultrasound Data Augmentation for Classification of Standard Planes
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176. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition
- B Huang
177. Video and Sensor-Based Rope Pulling Detection in Sport Climbing
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178. Differentiable data augmentation with Kornia
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179. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition
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180. Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
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181. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels
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182. Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images
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183. Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
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184. Multi-view automated chest radiography interpretation
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185. Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System
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186. Refinement Network for unsupervised on the scene Foreground Segmentation
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187. Improving Semi-Supervised Learning for Audio Classification with FixMatch
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188. Social Distancing Detection and Analysis through Computer Vision
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189. 车载探地雷达地下目标实时探测法
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190. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models
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191. Multi-Label Contrastive Learning for Abstract Visual Reasoning
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192. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas
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193. Deep local directional embeddings para detección de objetos
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194. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
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195. A Deep Learning Approach for Complex Microstructure Inference
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196. FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks
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197. Programmer Sought
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198. Normalization of HE-stained histological images using cycle consistent generative adversarial networks
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199. Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
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200. Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
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201. Disease detection in rice leaves using transfer learning techniques
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202. Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction
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203. Multi-level dilated residual network for biomedical image segmentation
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204. TauMed: test augmentation of deep learning in medical diagnosis
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205. Addressing materials' microstructure diversity using transfer learning
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206. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
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207. Few-shot learning with a novel Voronoi tessellation-based image augmentation method for facial palsy detection
- OO Abayomi-Alli, R Damaševičius, R Maskeliūnas
208. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision
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209. Resources for image-based high-throughput phenotyping in crops and data sharing challenges
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210. Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning
- F Fourati, WS Mseddi, R Attia
211. Super-Resolution: 2. Machine Learning-Based Approach
- AS Chernyavskiy
212. Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives
- YH Tee, WJ Goh, X Yong, HT Ong, J Hu, IYY Tay, S Shi
213. Vehicle-Rear: A new dataset to explore feature fusion for vehicle identification using convolutional neural networks
- IO de Oliveira, R Laroca, D Menotti, R Minetto
214. Semantic Correspondence with Transformers
- S Cho, S Hong, S Jeon, Y Lee, K Sohn
215. Dermoscopic attributes classification using deep learning and multi-task learning
- I Saitov, T Polevaya, A Filchenkov
216. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus
- J Law, TG Paulson, CA Sanchez
217. Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters
- D Joshi, V Mishra, H Srivastav, D Goel
218. A Robust System to Detect and Explain Public Mask Wearing Behavior
- A Gupta, B Srivastava
219. Waste detection in Pomerania: non-profit project for detecting waste in environment
- S Majchrowska, A Mikołajczyk, M Ferlin
220. CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning
- S Hemati, S Kalra, C Meaney, M Babaie
221. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e conjunto
- FVM Perez
222. Two-Stream Convolutional Neural Network Based on Gradient Image for Aluminum Profile Surface Defects Classification and Recognition
- C Duan, T Zhang
223. Data Augmentations for Document Images.
- Y Lee, T Hong, S Kim
224. The Role of Data for One-Shot Semantic Segmentation
- T Luddecke, A Ecker
225. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS
- R HAMDI, C BOUVIER, T DELZESCAUX
226. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
- H Baumgartl, R Buettner
227. Semi-Supervised Learning for Cervical Precancer Detection
- S Angara, P Guo, Z Xue, S Antani
228. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
229. Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business
- J Mizgajski, A Szymczak, M Morzy
230. End-to-end privacy preserving deep learning on multi-institutional medical imaging
- G Kaissis, A Ziller, J Passerat-Palmbach
231. Fiscal classification using convolutional neural network
- N Bindal, R Modi, BK Kaushik
232. 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
233. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
- A Babolhavaeji, M Fanaei
234. Application of shared backbone DNNs in ADAS perception systems
- MG Lobanov, DL Sholomov
235. 机器视觉应用中的图像数据增广综述
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236. CASS Studies
- HEB CASS
237. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
- A Abedalla, M Abdullah, M Al-Ayyoub
238. Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases
- HN Saha, S Chakraborty, S Paul
239. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
- LM Ellefsen
240. 3D Convolutional Neural Networks for Stalled Brain Capillary Detection
- R Solovyev, AA Kalinin, T Gabruseva
241. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- FVM Perez
242. Domain Adaptation for Multi-Organ Nuclei Segmentation
- H Jung, GT Brown, Y Liu
243. Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy
- Y Li, G Zeng, Y Zhang, J Wang, Q Zhang, Q Jin
244. Variational Beam Search for Novelty Detection
- A Li, AJ Boyd, P Smyth, S Mandt
245. Deepfake detection using capsule networks with long short-term memory networks
- A Mehra
246. Warp Consistency for Unsupervised Learning of Dense Correspondences
- P Truong, M Danelljan, F Yu, L Van Gool
247. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных
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248. Landslide susceptibility prediction based on image semantic segmentation
- B Du, Z Zhao, X Hu, G Wu, L Han, L Sun
249. End-to-End Optical Character Recognition for Bengali Handwritten Words
- FB Safir, AQ Ohi, MF Mridha
250. Battery Pack Part Detection and Disassembly Verification Using Computer Vision
- J Rehnholm
251. Danish Fungi 2020--Not Just Another Image Recognition Dataset
- L Picek, M Šulc, J Matas, J Heilmann-Clausen
252. SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
- Q Liu, M Kampffmeyer, R Jenssen
253. Relatable Clothing: Soft-attention Mechanism for Detecting worn/unworn Objects
- T Truong, S Yanushkevich
254. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy
- W Chen, B Fan
255. Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches WPI Technical Report WPI-CS-TR-19-02
- A Wagh
256. A multi-modal approach to forensic audio-visual device identification
- D Dal Cortivo
257. Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
- U Otamendi, I Martinez, M Quartulli, IG Olaizola, E Viles
258. Generative augmentation to improve lung nodules detection in resource-limited settings
- NF Gusarova, AA Lobantsev, AS Vatian
259. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- AY Wagh
260. 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
261. Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation
- I Ullah, P Chikontwe, H Choi, CH Yoon, SH Park
262. On Attribution of Deepfakes
- B Zhang, JP Zhou, I Shumailov, N Papernot
263. Side-Scan Sonar Image Synthesis Based on Generative Adversarial Network for Images in Multiple Frequencies
- Y Jiang, B Ku, W Kim, H Ko
264. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
- VTT Vi, AR Oh, GS Lee, HJ Yang, SH Kim
265. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
- Y Xu, HK Lam, G Jia
266. Targeting the zebrafish eye using deep learning-based image segmentation
- J Holmberg
267. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
- A Zhuchkov, D Prokhorov, V Gusev
268. Classification of Chest X-ray Images Using Machine Learning Techniques
- A Ahmed, G Tharwat, B Bouallegue, M Khattab
269. Image-based wheat fungi diseases identification by deep learning
- M Genaev, E Skolotneva, E Gultyaeva, E Orlova
270. Deep Learning-based Object Understanding for Robotic Manipulation
- JS Moon, HJ Jo, JB Song
271. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
- Y Inoue
272. Autonomous Mobile Robot for Apple Plant Disease Detection based on CNN and Multi-Spectral Vision System
- P Karpyshev, V Ilin, I Kalinov
273. Encoder-Recurrent Decoder Network for Single Image Dehazing
- A Dang, TH Vu, JC Wang
274. Application of neural networks to image recognition of wheat rust diseases
- M Genaev, S Ekaterina
275. Recognition Recipes with Deep Machine Learning
- СВ Ульянов, АВ Филипьев, КВ Кошелев
276. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sens. 2021, 13, 729
- PJ Navarro, L Miller, A Gila-Navarro, MV Díaz-Galián
277. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
- A Kozlov
278. NoGAN: Deblurring Images without Adversarial Training
- R Vei
279. What's wrong with this video? Comparing Explainers for Deepfake Detection
- S Pino, MJ Carman, P Bestagini
280. Image Segmentation of Adenovirus Particles in Food Vacuoles of Eukaryotic Organisms
- K Fu, R Zhou, S Li
281. End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
- Y Bai, H Sezen, A Yilmaz
282. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS
- K Vishnyakov, M Organokov
283. Exploitation of data augmentation strategies for improved UAV detection
- L Freudenmann, L Sommer
284. GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling for One-Hot Encoded Data
- M Scott, J Plested
285. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms
- P Miralles Roure
286. CrackWeb: A modified U-Net based segmentation architecture for crack detection
- S Ghosh, S Singh, A Maity
287. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
- LF Henriques, S Colcher, RL Milidiú, A Bulcão
288. Detecting subsurface drainage pipes using a fully convolutional network with optical images
- H Song, DK Woo, Q Yan
289. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images
- VS Samun, AS Sheka, TV Chumarnaya
290. MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels
- P Gómez, G Meoni
291. Using deep learning for food recognition
- L Zhu
292. Rubik's Cube layout construction and validation algorithm
- B Borkivskyi
293. Annotation quality vs. quantity for deep-learned medical image segmentation
- T Wesemeyer, ML Jauer
294. Automated Annotation of in Vitro Fertilization Time-Lapse Using Deep Neural Network
- CM Louis, A Erwin, M Galinium
295. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
- B Liebl, M Burghardt
296. PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
- L Melas-Kyriazi, AK Manrai
297. Variational Beam Search for Learning with Distribution Shifts
- A Li, A Boyd, P Smyth, S Mandt
298. DFGC 2021: A DeepFake Game Competition
- B Peng, H Fan, W Wang, J Dong, Y Li, S Lyu
299. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
300. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning
- CCG Sarasa, JDO Pabón
301. Spectral decoupling allows training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
302. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
- A Laugros, A Caplier, M Ospici
303. Ring artifacts segmentation on microtomographic images by convolutional neural networks
- A Kornilov, I Safonov
304. Real-Time Image Registration via A Deep Leaning Approach for Correlative X-ray and Electron Microscopy
- Y Luo, N Zaluzec, M Cherukara, X Wu
305. Image-Based Wheat Fungi Diseases Identification by Deep Learning. Plants 2021, 10, 1500
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova
306. A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
- E Tasci, C Uluturk, A Ugur
307. Pothole Detection Using Deep Learning and Area Assessment Using Image Manipulation
- S Kharel
308. Localization of Cementoenamel Junction in Intraoral Ultrasonographs with Machine Learning
- KCT Nguyen, BM Le, M Li, FT Almeida, PW Major
309. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH
- R HAMDI, C Bouvier, T Delzescaux, C Clouchoux
310. Self-Supervised Learning for Fine-Grained Image Classification
- FA Breiki, M Ridzuan, R Grandhe
311. Automatic lesion boundary detection in dermoscopy
- G Kechyn
312. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
- T Nickchen, S Heindorf
313. Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
- L Bondi, ED Cannas, P Bestagini
314. Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
- YG Kim, K Kim, D Wu, H Ren, WY Tak, SY Park
315. Supplementary Material: Automated Detection and Classifica-tion of Oral Lesions Using Deep Learning to Detect Oral Poten-tially Malignant Disorders
- G Tanriver, MS Tekkesin, O Ergen
316. Combining EfficientNet and Vision Transformers for Video Deepfake Detection
- D Coccomini, N Messina, C Gennaro
317. Image Compositing for Segmentation of Surgical Tools Without Manual Annotations
- LC Garcia-Peraza-Herrera, L Fidon
318. Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation
- T Monjo, M Koido, S Nagasawa, Y Suzuki, Y Kamatani
319. Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
- S Illarionova, D Shadrin, A Trekin, V Ignatiev
320. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ СОВМЕСТНО С РЕАЛИЗАЦИЕЙ ДВАЖДЫ СТОХАСТИЧЕСКОЙ МОДЕЛИ ДЛЯ УЛУЧШЕНИЯ КАЧЕСТВА …
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321. PathML: A unified framework for whole-slide image analysis with deep learning
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322. An Experimental Study of Semantic Continuity for Deep Learning Models
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323. Automatic phantom test pattern classification through transfer learning with deep neural networks
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324. Использование аугументаций при сегментации зданий на спутниковых снимках с помощью нейронной сети U-NET
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325. Light-weight Document Image Cleanup using Perceptual Loss
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326. Self Supervised Learning for Object Localisation in 3D Tomographic Images
- Y Zharov, A Ershov, T Baumbach
327. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
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328. Faster R-CNN model learning on synthetic images
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329. Rotation Augmentation for Head Pose Estimation Problem
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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 16.5k
OpenMMLab Detection Toolbox and Benchmark
spmallick/learnopencv 14.7k
Learn OpenCV : C++ and Python Examples
pytorch/ignite 3.7k
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
catalyst-team/catalyst 2.7k
Accelerated deep learning R&D
ml-tooling/ml-workspace 2.2k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
toandaominh1997/EfficientDet.Pytorch 1.4k
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
azavea/raster-vision 1.4k
An open source framework for deep learning on satellite and aerial imagery.
WXinlong/SOLO 1.2k
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
joe-siyuan-qiao/DetectoRS 1.0k
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
hukkelas/DeepPrivacy 1.0k
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
open-mmlab/mmclassification 815
OpenMMLab Image Classification Toolbox and Benchmark
akirasosa/mobile-semantic-segmentation 661
Real-Time Semantic Segmentation in Mobile device
View all open source projects on GitHub