Industry

Lyft
SberDevices
X5 Retail Group
MedHub
Recursion
Everypixel
Neuromation
Ultralytics
borzo
VITECH Lab
Piñata Farms
ЦФТ
Sharper Shape
incode
Anadea
Openface
ID R&D

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. Synthetic data for deep learning
- SI Nikolenko
5. Angiodysplasia detection and localization using deep convolutional neural networks
- AA Shvets, VI Iglovikov, A Rakhlin
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. 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
19. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
- Á Casado-García, C Domínguez
20. Camera model identification using convolutional neural networks
- A Kuzin, A Fattakhov, I Kibardin
21. StandardGAN: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization
- O Tasar, Y Tarabalka, A Giros
22. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
- CP Jayapandian, Y Chen, AR Janowczyk, MB Palmer
23. ImageNet pre-trained CNNs for JPEG steganalysis
- Y Yousfi, J Butora, E Khvedchenya
24. Automatic salt deposits segmentation: A deep learning approach
- M Karchevskiy, I Ashrapov, L Kozinkin
25. U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images
- SMK Hasan, CA Linte
26. 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
27. Severity assessment and progression prediction of COVID-19 patients based on the LesionEncoder framework and chest CT
- YZ Feng, S Liu, ZY Cheng, JC Quiroz, D Rezazadegan
28. Monitoring sugar crystallization with deep neural networks
- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu
29. Breast tumor cellularity assessment using deep neural networks
- A Rakhlin, A Tiulpin, AA Shvets
30. General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
- L Nanni, S Brahnam, S Ghidoni, G Maguolo
31. 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
32. Ensemble size classification in Colombian Andean string music recordings
- S Grollmisch, E Cano, F Mora Ángel
33. Easyaug: An automatic textual data augmentation platform for classification tasks
- S Qiu, B Xu, J Zhang, Y Wang, X Shen
34. Pneumothorax segmentation with effective conditioned Post-Processing in chest X-Ray
- V Groza, A Kuzin
35. Speech driven talking face generation from a single image and an emotion condition
- SE Eskimez, Y Zhang, Z Duan
36. A framework for knowing who is doing what in aerial surveillance videos
- F Yang, S Sakti, Y Wu, S Nakamura
37. The inclusive images competition
- J Atwood, Y Halpern, P Baljekar, E Breck
38. Moiré pattern removal via attentive fractal network
- D Xu, Y Chu, Q Sun
39. Image-based high-throughput detection and phenotype evaluation method for multiple lettuce varieties
- J Du, X Lu, J Fan, Y Qin, X Yang
40. Identifying melanoma images using efficientnet ensemble: Winning solution to the siim-isic melanoma classification challenge
- Q Ha, B Liu, F Liu
41. 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
42. The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
- MA Kutlugün, Y Sirin
43. Road segmentation using u-net architecture
- NYQ Abderrahim, S Abderrahim
44. Learning accurate dense correspondences and when to trust them
- P Truong, M Danelljan, L Van Gool
45. Semantic segmentation of smartphone wound images: Comparative analysis of AHRF and CNN-based approaches
- A Wagh, S Jain, A Mukherjee, E Agu
46. Real-time tracking of guidewire robot tips using deep convolutional neural networks on successive localized frames
- I Ullah, P Chikontwe, SH Park
47. Daugnet: Unsupervised, multisource, multitarget, and life-long domain adaptation for semantic segmentation of satellite images
- O Tasar, A Giros, Y Tarabalka, P Alliez
48. Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation
- H Qiu, Y Zeng, S Guo, T Zhang, M Qiu
49. 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
50. The study of improving the accuracy of convolutional neural networks in face recognition tasks
- N Andriyanov, V Dementev, A Tashlinskiy
51. A load frame for in situ tomography at PETRA III
- J Moosmann, DCF Wieland
52. Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images
- H Wieslander, PJ Harrison, G Skogberg
53. Road damage detection and classification with detectron2 and faster r-cnn
- V Pham, C Pham, T Dang
54. Image Stylization for Robust Features
- I Melekhov, GJ Brostow, J Kannala
55. Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images
- G Pavoni, M Corsini, N Pedersen, V Petrovic
56. Weighted ensemble object detection with optimized coefficients for remote sensing images
- A Körez, N Barışçı, A Çetin, U Ergün
57. Benchmark for generic product detection: a low data baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
58. The impact of padding on image classification by using pre-trained convolutional neural networks
- H Tang, A Ortis, S Battiato
59. Deep Depth From Aberration Map
- M Kashiwagi, N Mishima
60. A novel approach to data augmentation for pavement distress segmentation
- D Mazzini, P Napoletano, F Piccoli, R Schettini
61. Retinopathy diagnosis using semi-supervised multi-channel generative adversarial network
- Y Xie, Q Wan, G Chen, Y Xu, B Lei
62. A weak supervision machine vision detection method based on artificial defect simulation
- C Li, Y Huang, H Li, X Zhang
63. Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas
- N Zioulis, F Alvarez, D Zarpalas, P Daras
64. Adapting Convolutional Neural Networks for Geographical Domain Shift
- P Ostyakov, SI Nikolenko
65. An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
- F Fourati, W Souidene, R Attia
66. Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms
- V Guryanova
67. Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
- F Maleki, N Muthukrishnan, K Ovens
68. An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
- B Liebl, M Burghardt
69. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet
- A Sheka, V Samun, T Chumarnaya
70. Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
- L Sharan, G Romano, S Koehler, H Kelm
71. Benchmark for generic product detection: a strong baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
72. Resources for image-based high-throughput phenotyping in crops and data sharing challenges
- MF Danilevicz, PE Bayer, BJ Nestor
73. Deep learning for retail product recognition: Challenges and techniques
- Y Wei, S Tran, S Xu, B Kang, M Springer
74. Divergentnets: Medical image segmentation by network ensemble
- V Thambawita, SA Hicks, P Halvorsen
75. 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
76. 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
77. Use of images augmentation and implementation of doubly stochastic models for improving accuracy of recognition algorithms based on convolutional neural …
- VE Dementyiev, NA Andriyanov
78. Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
- S Mandelli, N Bonettini, P Bestagini
79. A modular region and text line layout analysis system
- B Kiessling
80. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
- FS Herrera, JM Saavedra
81. A Deep learning approach to Hazard detection for Autonomous Lunar landing
- R Moghe, R Zanetti
82. An Efficient Solution for Semantic Segmentation of Three Ground‐based Cloud Datasets
- Q Song, Z Cui, P Liu
83. A flatter loss for bias mitigation in cross-dataset facial age estimation
- A Akbari, M Awais, Z Feng, A Farooq
84. Localization of cementoenamel junction in intraoral ultrasonographs with machine learning
- KCT Nguyen, BM Le, M Li, FT Almeida, PW Major
85. 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
86. MixChannel: Advanced Augmentation for Multispectral Satellite Images
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
87. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery Using Deep Learning Techniques
- O Baghirli, I Ibrahimli, T Mammadzada
88. Method for Whale Re-identification Based on Siamese Nets and Adversarial Training
- W Wang, RA Solovyev, AL Stempkovsky
89. Multi-class brain tumor segmentation via multi-sequences mri mixture data preprocessing
- A Letyagin, S Golushko, M Amelin
90. Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images
- SR Kundeti, MA Ansari, A Sanin
91. DCNN-based Screw Classification in Automated Disassembly Processes.
- E Yildiz, F Wörgötter
92. Semi-automatic Manga Colorization Using Conditional Adversarial Networks.
- M Golyadkin, I Makarov
93. 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
94. Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
- C Dasanayaka, MB Dissanayake
95. Arrow R-CNN for handwritten diagram recognition
- B Schäfer, M Keuper, H Stuckenschmidt
96. 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
97. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
- A Signoroni, M Savardi, S Benini, N Adami
98. Estimating displaced populations from overhead
- A Hadzic, G Christie, J Freeman
99. Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images
- W Tao, Z Xie, Y Zhang, J Li, F Xuan, J Huang, X Li
100. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models
- C von Koch, W Anzén
101. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences
- AY Kondratiev, H Yaginuma, Y Okada
102. Brain tumor segmentation and associated uncertainty evaluation using multi-sequences MRI mixture data preprocessing
- V Groza, B Tuchinov, E Amelina, E Pavlovskiy
103. Landslide segmentation with u-net: Evaluating different sampling methods and patch sizes
- LP Soares, HC Dias, CH Grohmann
104. Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
- IO De Oliveira, R Laroca, D Menotti
105. Automatic sorting of Dwarf Minke Whale underwater images
- DA Konovalov, N Swinhoe, DB Efremova, RA Birtles
106. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation
- V Groza, B Tuchinov, E Pavlovskiy
107. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
- N Mishima, T Kozakaya, A Moriya, R Okada
108. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets
- Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong
109. CRNNs for Urban Sound Tagging with spatiotemporal context
- A Arnault, N Riche
110. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
- A Abedalla, M Abdullah, M Al-Ayyoub
111. Convolutional Neural Network for Drowsiness Detection Using EEG Signals
- S Chaabene, B Bouaziz, A Boudaya, A Hökelmann
112. Training on Polar Image Transformations Improves Biomedical Image Segmentation
- M Benčević, I Galić, M Habijan, D Babin
113. 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
114. MaskHunter: real-time object detection of face masks during the COVID-19 pandemic
- Z Cao, M Shao, L Xu, S Mu, H Qu
115. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
- H Chen, C Lian, L Wang
116. A hybrid deep convolutional neural network for accurate land cover classification
- N Wambugu, Y Chen, Z Xiao, M Wei, SA Bello
117. Flood detection with sentinel-2 satellite images in crisis management systems
- A Moumtzidou, M Bakratsas, S Andreadis
118. 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
119. Exploring 2D data augmentation for 3D monocular object detection
- K Santhakumar, BR Kiran, T Gauthier
120. AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
- Y Yin, D Xu, X Wang, L Zhang
121. Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
122. Global Adaptive Filtering Layer for Computer Vision
- V Shipitsin, I Bespalov, DV Dylov
123. Safe augmentation: Learning task-specific transformations from data
- I Baran, O Kupyn, A Kravchenko
124. 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
125. Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing
- J You, Z Hu, C Peng, Z Wang
126. Contextual pyramid attention network for building segmentation in aerial imagery
- C Sebastian, R Imbriaco, E Bondarev
127. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection
- R Lõuk, A Tepljakov, A Riid
128. Augmentation-based object detection for winter time applications
- R Yagfarov, V Ostankovich
129. Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
- MN Rizve, S Khan, FS Khan
130. When texture matters: texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection
- E Wetzer, J Gay, H Harlin, J Lindblad
131. Urban Sound Classification: striving towards a fair comparison
- A Arnault, B Hanssens, N Riche
132. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images
- I Trimeche, F Rossant, I Bloch
133. A U-Net Based Approach for Automating Tribological Experiments
- B Staar, S Bayrak, D Paulkowski, M Freitag
134. Fine-Grained Large-Scale Vulnerable Communities Mapping via Satellite Imagery and Population Census Using Deep Learning
- J Salas, P Vera, M Zea-Ortiz, EA Villaseñor, D Pulido
135. Understanding the decisions of CNNs: An in-model approach
- I Rio-Torto, K Fernandes, LF Teixeira
136. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …
- СВ Кравченко, АВ Алексеев, ЮА Орлова
137. Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
- A Riabi, T Scialom, R Keraron, B Sagot
138. Rotation Augmentation for Head Pose Estimation Problem
- A Sheka, V Samun
139. A review of medical image data augmentation techniques for deep learning applications
- P Chlap, H Min, N Vandenberg
140. Artificial Intelligence based identification of Total Knee Arthroplasty Implants
- S Ghose, S Datta, V Batta, C Malathy
141. On-line hazard detection algorithm for precision lunar landing using semantic segmentation
- R Moghe, R Zanetti
142. Multimodal Approach for DeepFake Detection
- M Lomnitz, Z Hampel-Arias
143. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images
- Q Liu, M Kampffmeyer, R Jenssen
144. A CNN-based length-aware cascade road damage detection approach
- H Xu, B Chen, J Qin
145. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography
- Y Tian, S Xu, L Guo, F Cong
146. Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
- A Sheka, V Samun
147. Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations
- N Marini, S Otálora, F Ciompi
148. Deep Learning object detection architectures in ADAS
- U Otamendi Etxabe
149. Digital Peter: Dataset, Competition and Handwriting Recognition Methods
- M Potanin, D Dimitrov, A Shonenkov, V Bataev
150. Remote Sensing Image Captioning with Continuous Output Neural Models
- R Ramos, B Martins
151. 残差密集相对平均 CGAN 的脑部图像配准
- 王丽芳， 张程程， 秦品乐， 蔺素珍， 高媛， 窦杰亮
152. Prior Attention Network for Multi-Lesion Segmentation in Medical Images
- X Zhao, P Zhang, F Song, C Ma, G Fan, Y Sun
153. SynFace: Face Recognition with Synthetic Data
- H Qiu, B Yu, D Gong, Z Li, W Liu
154. DBA_SSD: A Novel End-to-End Object Detection Using Deep Attention Module for Helping Smart Device with Vegetable and Fruit Leaf Plant Disease Detection
- J Wang, J Yang, L Yu, H Dong, K Yun, Y Wang
155. Built-in Elastic Transformations for Improved Robustness
- S Gulshad, I Sosnovik, A Smeulders
156. Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network
- X Liu, G Li, Z Han, W Zhang, Y Yang
157. Data Augmentation for JPEG Steganalysis
- T Itzhaki, Y Yousfi, J Fridrich
158. Smartphone Glass Inspection System.
- S Turko, L Burmak, I Malyshev, S Shtykov, M Popov
159. Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis
- M Böhland, L Tharun, T Scherr, R Mikut
160. Efficient Palm-Line Segmentation with U-Net Context Fusion Module
- TP Van, ST Nguyen, LB Doan, NN Tran
161. Ultra Light OCR Competition Technical Report
- S Zhang, Y Zou, T Wang, Y Xiong
162. Deep-learning based segmentation of challenging myelin sheaths
- T Le Couedic, R Caillon, F Rossant
163. Digging Into Self-Supervised Learning of Feature Descriptors
- I Melekhov, Z Laskar, X Li, S Wang
164. Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
- E Khvedchenya, T Gabruseva
165. Point Proposal based Instance Segmentation with Rectangular Masks for Robot Picking Task
- S Ito, S Kubota
166. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
- A Martínez Mora
167. Neural Mesh Refiner for 6-DoF Pose Estimation
- D Wu, Y Chen, X Qi, Y Yu, W Chen, R Xiao
168. Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model
- Z Jiang, Z Dong, L Wang, W Jiang
169. Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
- M Ryabinin, A Malinin, M Gales
170. Classification and understanding of cloud structures via satellite images with EfficientUNet
- T Ahmed, NHN Sabab
171. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation
- W Luo, M Lin, L Chen, B Peng
172. An Affordable Image-Analysis Platform to Accelerate Stomatal Phenotyping During Microscopic Observation
- Y Toda, T Tameshige, M Tomiyama
173. GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification
- RF de Moraes, RS Evangelista, LAF Fernandes, L Martı
174. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus
- V Vyšniauskas
175. Geometric Computer Vision Techniques for Scene Reconstruction
- E Riba Pi
176. Self-supervised Audiovisual Representation Learning for Remote Sensing Data
- K Heidler, L Mou, D Hu, P Jin, G Li, C Gan
177. Improving deep learning sorghum head detection through test time augmentation
- C Gonzalo-Martín, A García-Pedrero
178. Deepfake Detection Scheme Based on Vision Transformer and Distillation
- YJ Heo, YJ Choi, YW Lee, BG Kim
179. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …
- ВЕ Дементьев, НА Андриянов
180. Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
- VT Pham, CM Tran, S Zheng, TM Vu
181. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
- S Koehler, T Hussain, Z Blair, T Huffaker
182. AUTOMATED QUANTIFICATION OF VITREOUS HYPERREFLECTIVE FOCI AND VITREOUS HAZE USING OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS …
- H Lee, S Kim, H Chung, HC Kim
183. A Semi-Self-Supervised Learning Approach for Wheat Head Detection Using Extremely Small Number of Labeled Samples
- K Najafian, A Ghanbari, I Stavness
184. Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
- A Li, AJ Boyd, P Smyth, S Mandt
185. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
- Y Gu, Y Pan, S Chen
186. Vision Transformer based COVID-19 Detection using Chest X-rays
- KS Krishnan, KS Krishnan
187. Body Part Regression for CT Images
- S Schuhegger
188. A Battery-Powered Friend: Towards Embedded Emotion Recognition
- P Shved
189. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
- Α Κωστόπουλος
190. Identificación de etiquetas en líneas de manufactura
- D Diaz Valencia, S Jaramillo Gonzales
191. Automatic fault mapping in remote optical images and topographic data with deep learning
- L Mattéo, I Manighetti, Y Tarabalka, J Gaucel
192. Analysis of medical images using deep learning
- A Utegulov
193. Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models
- B Schäfer, H van der Aa, H Leopold
194. Image2SMILES: Transformer-based Molecular Optical Recognition Engine
- I Khokhlov, L Krasnov, M Fedorov, S Sosnin
195. Early Detection of Malpositioned Catheters and Lines on Chest X-Rays using Deep Learning
- ABM Khan, SMA Ali
196. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review
- B Zhou, X Yang, T Liu
197. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors
- J Verecken, D Bol, C De Vleeschouwer
198. ClipAssistNet: bringing real-time safety feedback to operating rooms
- F Aspart, JL Bolmgren, JL Lavanchy, G Beldi
199. Obstacle Detection for BVLOS Drones
- JM Esteban, J van de Loosdrecht, M Aghaei
200. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
- C Yaris, B Huang, K Bradbury, JM Malof
201. Training An Embedded Object Detector For Industrial Settings Without Real Images
- J Cohen, C Crispim-Junior
202. SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
- V Thambawita, P Salehi, SA Sheshkal, SA Hicks
203. Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2
- K Isaienkov, M Yushchuk, V Khramtsov
204. Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation
- N Tolstokulakov, E Pavlovskiy
205. Densely Connected Feature Pyramid Network for Image Segmentation
- Y Jia, J Tan, Y Xing, P Hong
206. Automated measurement of Vickers hardness using image segmentation with neural networks
- Z Li, F Yin
207. Feature-based image registration in structured light endoscopy
- AM Kist, J Zilker, M Döllinger
208. Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing
- M Groh, Z Epstein, C Firestone, R Picard
209. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
- N Yavari
210. 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
211. MobileNet SSD: étude d'un détecteur d'objets embarquable entraîné sans images réelles
- J Cohen, C Crispim-Junior, JM Chiappa
212. Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
- S Zabihi, E Rahimian, S Sharma, SK Sethi
213. Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning
- A Sugeno, Y Ishikawa, T Ohshima
214. SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation
- D Lacalle, HA Castro-Abril, T Randelovic
215. Principled Ultrasound Data Augmentation for Classification of Standard Planes
- LH Lee, Y Gao, JA Noble
216. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition
- B Huang
217. Video and Sensor-Based Rope Pulling Detection in Sport Climbing
- I Ivanova, M Andrić, S Moaveninejad, A Janes
218. 基于编码-解码器架构的光场深度估计方法
- 晏旭， 马帅， 曾凤娇， 郭正华， 伍俊龙， 杨平， 许冰
219. Differentiable data augmentation with Kornia
- J Shi, E Riba, D Mishkin, F Moreno
220. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition
- P Wang, L Ji, Z Ji, Y Gao, X Liu
221. Efficient attention-based deep encoder and decoder for automatic crack segmentation
- DH Kang, YJ Cha
222. Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
- S Khaleghian, H Ullah, T Kræmer, N Hughes, T Eltoft
223. SCSS-Net: solar corona structures segmentation by deep learning
- Š Mackovjak, M Harman
224. A Simple Data Augmentation Method to Improve the Performance of Named Entity Recognition Models in Medical Domain
- AM Issifu, MC Ganiz
225. Artificial intelligence and image processing in the MIRET approach for the water detection and integrated geotechnical management of existing mechanized …
- F Foria, M Calicchio, A Tarquini, G Miceli
226. Considering multiple failure modes: A comparison of probabilistic analysis and multi-modal optimization for a 3D slope stability case stud y
- B Cami, T Ma, S Javankhoshdel, T Yacoub
227. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels
- J Hobbs, V Khachatryan, BS Anandan
228. Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
- S Paul, S Ganju
229. Deep learning for Earth Sciences
- G Camps-Valls, M Reichstein, Z Xiaoxiang, D Tuia
230. Multi-view automated chest radiography interpretation
- P Jansson
231. Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System
- AS Kashin, DA Boiko, VP Ananikov
232. Refinement Network for unsupervised on the scene Foreground Segmentation
- M Pardas, G Canet
233. Improving Semi-Supervised Learning for Audio Classification with FixMatch
- S Grollmisch, E Cano
234. Social Distancing Detection and Analysis through Computer Vision
- S Madane, D Chitre
235. 车载探地雷达地下目标实时探测法
- 杨必胜， 宗泽亮， 陈驰， 孙文鹿， 米晓新， 吴唯同
236. What augmentations are sensitive to hyper-parameters and why?
- CM Awais, IEI Bekkouch
237. 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
238. The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning
- N Koriakina, N Sladoje
239. Multi-Label Contrastive Learning for Abstract Visual Reasoning
- M Małkiński, J Mańdziuk
240. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review
- N Wambugu, Y Chen, Z Xiao, K Tan, M Wei
241. Fine-Scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs
- BC Gonçalves, HJ Lynch
242. H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
- N Marini, M Atzori, S Otálora
243. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas
- A Ferreras Extremo
244. Deep local directional embeddings para detección de objetos
- FE Souto Herrera
245. Artificial colorization of digitized microfilms and its impact on other tasks
- T Clérice, A Pinche
246. Detecting aerial objects: drones, birds, and helicopters
- C Mediavilla, L Nans, D Marez
247. Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
- PK Saha, S Ahmed, T Ahmed, H Islam
248. Breast Tumor Cell Nuclei Segmentation in Histopathology Images using EfficientUnet++ and Multi-organ Transfer Learning
- TL Dinh, SG Kwon, SH Lee
249. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
- A Alahyari, A Hinneck
250. A Deep Learning Approach for Complex Microstructure Inference
- A Durmaz, M Müller, B Lei, A Thomas, D Britz, E Holm
251. FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks
- J Bae, J Lee, Y Jin, S Son, S Kim, H Jang
252. Depth Estimation of Martian Surface using ISRO's MARS Color Camera Images
- A Khamkar, A Pukale, P Joshi
253. Programmer Sought
- X Yibin
254. Normalization of HE-stained histological images using cycle consistent generative adversarial networks
- M Runz, D Rusche, S Schmidt, MR Weihrauch
255. A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach
- S Tan, X Zhang, H Wang, L Yu, Y Du
256. Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
- AK Jaiswal, P Tiwari, S Kumar, MS Al-Rakhami
257. Disease detection in rice leaves using transfer learning techniques
- G Kathiresan, M Anirudh, M Nagharjun
258. An interactive system for muscle and fat tissue identification of the lumbar spine using semantic segmentation
- R Bieck, D Baur, J Berger, T Stelzner, A Völker
259. Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction
- N Andriyanov
260. Multi-level dilated residual network for biomedical image segmentation
- NR Gudhe, H Behravan, M Sudah, H Okuma
261. Learning an augmentation strategy for sparse datasets
- RB Arantes, G Vogiatzis, DR Faria
262. TauMed: test augmentation of deep learning in medical diagnosis
- Y Hou, J Liu, D Wang, J He, C Fang
263. Defect Detection of Metal Nuts Applying Convolutional Neural Networks
- D Sauter, A Schmitz, F Dikici
264. Addressing materials' microstructure diversity using transfer learning
- A Goetz, AR Durmaz, M Müller, A Thomas
265. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
- Θ Κασσιώτης
266. Few-shot learning with a novel Voronoi tessellation-based image augmentation method for facial palsy detection
- OO Abayomi-Alli, R Damaševičius, R Maskeliūnas
267. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision
- S Poudel, SW Lee
268. Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning
- F Fourati, WS Mseddi, R Attia
269. Super-Resolution: 2. Machine Learning-Based Approach
- AS Chernyavskiy
270. 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
271. Investigation of Methods for Increasing the Efficiency of Convolutional Neural Networks in Identifying Tennis Players
- NA Andriyanov, VE Dementev, KK Vasiliev
272. Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation
- S Ali, P Crawford, D Maire, A Pandey, K Ajay
273. Season-invariant GNSS-denied visual localization for UAVs
- J Kinnari, F Verdoja, V Kyrki
274. Semantic Correspondence with Transformers
- S Cho, S Hong, S Jeon, Y Lee, K Sohn
275. Dermoscopic attributes classification using deep learning and multi-task learning
- I Saitov, T Polevaya, A Filchenkov
276. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus
- J Law, TG Paulson, CA Sanchez
277. Anomaly Detection for In Situ Marine Plankton Images
- Y Pu, Z Feng, Z Wang, Z Yang
278. High-resolution photoacoustic microscopy with deep penetration through learning
- S Cheng, Y Zhou, J Chen, H Li, L Wang, P Lai
279. Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters
- D Joshi, V Mishra, H Srivastav, D Goel
280. MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble
- J Marti Asenjo, A Martinez-Larraz Solís
281. GreedyCenters: Satellite imagery adaptive sampling method for artificial neural networks training
- O Gvozdev
282. Analyzing Deep Learning Models' Generalization Ability Under Different Augmentations on Deepfake Datasets
- I Huseynli, S Varli
283. A Robust System to Detect and Explain Public Mask Wearing Behavior
- A Gupta, B Srivastava
284. Waste detection in Pomerania: non-profit project for detecting waste in environment
- S Majchrowska, A Mikołajczyk, M Ferlin
285. CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning
- S Hemati, S Kalra, C Meaney, M Babaie
286. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e …
- FVM Perez
287. Two-Stream Convolutional Neural Network Based on Gradient Image for Aluminum Profile Surface Defects Classification and Recognition
- C Duan, T Zhang
288. Application of one-stage instance segmentation with weather conditions in surveillance cameras at construction sites
- KS Kang, YW Cho, KH Jin, YB Kim, HG Ryu
289. Local climate zone classification using a multi-scale, multi-level attention network
- M Kim, D Jeong, Y Kim
290. Data Augmentations for Document Images.
- Y Lee, T Hong, S Kim
291. The Role of Data for One-Shot Semantic Segmentation
- T Luddecke, A Ecker
292. Semantic Segmentation of Iron Ore Pellets in the Cloud
- H Lindberg
293. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS
- R HAMDI, C BOUVIER, T DELZESCAUX
294. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
- H Baumgartl, R Buettner
295. Semi-Supervised Learning for Cervical Precancer Detection
- S Angara, P Guo, Z Xue, S Antani
296. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
297. Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business
- J Mizgajski, A Szymczak, M Morzy
298. 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
299. A Dual-Stream Framework for 3D Mask Face Presentation Attack Detection
- S Chen, T Yao, K Zhang, Y Chen
300. End-to-end privacy preserving deep learning on multi-institutional medical imaging
- G Kaissis, A Ziller, J Passerat-Palmbach
301. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
- I Nitze, K Heidler, S Barth, G Grosse
302. Fiscal classification using convolutional neural network
- N Bindal, R Modi, BK Kaushik
303. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
- A Babolhavaeji, M Fanaei
304. Application of shared backbone DNNs in ADAS perception systems
- MG Lobanov, DL Sholomov
305. 机器视觉应用中的图像数据增广综述
- 林成创， 单纯， 赵淦森
306. CASS Studies
- HEB CASS
307. A spatial AI-based agricultural robotic platform for collision avoidance and disease detection in crops
- S Gunturu
308. Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases
- HN Saha, S Chakraborty, S Paul
309. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
- LM Ellefsen
310. 3D Convolutional Neural Networks for Stalled Brain Capillary Detection
- R Solovyev, AA Kalinin, T Gabruseva
311. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- FVM Perez
312. A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
- F Maleki, K Cote, K Najafian, K Ovens, Y Miao
313. Domain Adaptation for Multi-Organ Nuclei Segmentation
- H Jung, GT Brown, Y Liu
314. 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
315. Variational Beam Search for Novelty Detection
- A Li, AJ Boyd, P Smyth, S Mandt
316. Deepfake detection using capsule networks with long short-term memory networks
- A Mehra
317. Warp Consistency for Unsupervised Learning of Dense Correspondences
- P Truong, M Danelljan, F Yu, L Van Gool
318. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных
- НА Андриянов, ДА Андриянов
319. Landslide susceptibility prediction based on image semantic segmentation
- B Du, Z Zhao, X Hu, G Wu, L Han, L Sun
320. End-to-End Optical Character Recognition for Bengali Handwritten Words
- FB Safir, AQ Ohi, MF Mridha
321. Battery Pack Part Detection and Disassembly Verification Using Computer Vision
- J Rehnholm
322. CATs: Cost Aggregation Transformers for Visual
- S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim
323. Supplementary Materials for “End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI”
- G Holste, SC Partridge, H Rahbar, D Biswas, CI Lee
324. 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
325. Danish Fungi 2020--Not Just Another Image Recognition Dataset
- L Picek, M Šulc, J Matas, J Heilmann-Clausen
326. SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
- Q Liu, M Kampffmeyer, R Jenssen
327. Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects
- T Truong, S Yanushkevich
328. Evaluating the application of a computer vision model in the customer service chatbot of an electric utility
- FAR Finardi, GM De Holanda
329. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy
- W Chen, B Fan
330. Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches WPI Technical Report WPI-CS-TR-19-02
- A Wagh
331. Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
- R Rahman, ZB Azad, M Hasan
332. Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study
- S Illarionova, S Nesteruk, D Shadrin
333. Balanced Masked and Standard Face Recognition
- D Qi, K Hu, W Tan, Q Yao, J Liu
334. A multi-modal approach to forensic audio-visual device identification
- D Dal Cortivo
335. Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
- U Otamendi, I Martinez, M Quartulli, IG Olaizola, E Viles
336. Generative augmentation to improve lung nodules detection in resource-limited settings
- NF Gusarova, AP Klochkov, AA Lobantsev
337. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- AY Wagh
338. Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation
- I Ullah, P Chikontwe, H Choi, CH Yoon, SH Park
339. On Attribution of Deepfakes
- B Zhang, JP Zhou, I Shumailov, N Papernot
340. Side-Scan Sonar Image Synthesis Based on Generative Adversarial Network for Images in Multiple Frequencies
- Y Jiang, B Ku, W Kim, H Ko
341. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
- VTT Vi, AR Oh, GS Lee, HJ Yang, SH Kim
342. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
- A Zhuk, S Ablameyko
343. Automatic Snake Classification using Deep Learning Algorithm
- L Kalinathan, PG Prabavathy Balasundaram
344. Improved U-Net based on contour prediction for efficient segmentation of rectal cancer
- D Li, X Chu, Y Cui, J Zhao, K Zhang, X Yang
345. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
- Y Xu, HK Lam, G Jia
346. Targeting the zebrafish eye using deep learning-based image segmentation
- J Holmberg
347. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
- A Zhuchkov, D Prokhorov, V Gusev
348. Classification of Chest X-ray Images Using Machine Learning Techniques
- A Ahmed, G Tharwat, B Bouallegue, M Khattab
349. Image-based wheat fungi diseases identification by deep learning
- M Genaev, E Skolotneva, E Gultyaeva, E Orlova
350. Deep Learning-based Object Understanding for Robotic Manipulation
- JS Moon, HJ Jo, JB Song
351. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
- Y Inoue
352. Autonomous Mobile Robot for Apple Plant Disease Detection based on CNN and Multi-Spectral Vision System
- P Karpyshev, V Ilin, I Kalinov
353. Encoder-Recurrent Decoder Network for Single Image Dehazing
- A Dang, TH Vu, JC Wang
354. Application of neural networks to image recognition of wheat rust diseases
- M Genaev, S Ekaterina
355. Towards Rotation Invariance in Object Detection
- A Kalra, G Stoppi, B Brown
356. Recognition Recipes with Deep Machine Learning
- СВ Ульянов, АВ Филипьев, КВ Кошелев
357. 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
358. Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
- F Hardalaç, F Uysal, O Peker, M Çiçeklidağ
359. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
- A Kozlov
360. NoGAN: Deblurring Images without Adversarial Training
- R Vei
361. Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
- HC Chen, SS Tzeng, YC Hsiao, RF Chen
362. Multi-Stream Deep Convolutional Neural Network for PET Preform Surface Defects Detection and Classification
- T Zhang, C Duan
363. What's wrong with this video? Comparing Explainers for Deepfake Detection
- S Pino, MJ Carman, P Bestagini
364. Image Segmentation of Adenovirus Particles in Food Vacuoles of Eukaryotic Organisms
- K Fu, R Zhou, S Li
365. End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
- Y Bai, H Sezen, A Yilmaz
366. Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism
- J Xi, J Chen, Z Wang, D Ta, B Lu, X Deng
367. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS
- K Vishnyakov, M Organokov
368. Exploitation of data augmentation strategies for improved UAV detection
- L Freudenmann, L Sommer
369. A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket …
- AYC Tam, BPH So, TTC Chan, AKY Cheung
370. GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling for One-Hot Encoded Data
- M Scott, J Plested
371. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms
- P Miralles Roure
372. Data Augmentation with Illumination Correction in Sematic Segmentation
- H Liu, C Wang, Y Peng
373. CrackWeb: A modified U-Net based segmentation architecture for crack detection
- S Ghosh, S Singh, A Maity
374. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
- LF Henriques, S Colcher, RL Milidiú, A Bulcão
375. Detecting subsurface drainage pipes using a fully convolutional network with optical images
- H Song, DK Woo, Q Yan
376. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images
- VS Samun, AS Sheka, TV Chumarnaya
377. MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels
- P Gómez, G Meoni
378. A Deep Learning Based Object Identification System for Forest Fire Detection
- F Guede-Fernández, L Martins, RV Almeida
379. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
- Q Liu, M Kampffmeyer, R Jenssen
380. Deep Learning Classification Experiments on the Texas Colorado River Delta
- L Su, J Gibeaut, J Magolan
381. A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography
- AA Sherwood, AI Sherwood, FC Setzer, JV Shamili
382. Using deep learning for food recognition
- L Zhu
383. Распознавание отражающих горизонтов с помощью сверточной нейронной сети
- АЭ Грибуль, АИ Ненюкова, ВЛ Рыжов
384. Rubik's Cube layout construction and validation algorithm
- B Borkivskyi
385. Annotation quality vs. quantity for deep-learned medical image segmentation
- T Wesemeyer, ML Jauer
386. Automated Annotation of in Vitro Fertilization Time-Lapse Using Deep Neural Network
- CM Louis, A Erwin, M Galinium
387. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
- B Liebl, M Burghardt
388. Segmentation of Polyp Instruments using UNet based deep learning model
- A Mirza, RK Rajak
389. Weakly-supervised individual human cell classification
- D Kolinko
390. PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
- L Melas-Kyriazi, AK Manrai
391. Variational Beam Search for Learning with Distribution Shifts
- A Li, A Boyd, P Smyth, S Mandt
392. DFGC 2021: A DeepFake Game Competition
- B Peng, H Fan, W Wang, J Dong, Y Li, S Lyu
393. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
394. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning
- CCG Sarasa, JDO Pabón
395. Spectral decoupling allows training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
396. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
- A Laugros, A Caplier, M Ospici
397. Ring artifacts segmentation on microtomographic images by convolutional neural networks
- A Kornilov, I Safonov
398. Potholes Detection Using Deep Learning and Area Estimation Using Image Processing
- S Kharel, KR Ahmed
399. Real-Time Image Registration via A Deep Leaning Approach for Correlative X-ray and Electron Microscopy
- Y Luo, N Zaluzec, M Cherukara, X Wu
400. Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey
- B Zhou, X Yang, WJ Curran, T Liu
401. Image-Based Wheat Fungi Diseases Identification by Deep Learning. Plants 2021, 10, 1500
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova
402. Observations and Geoinformation
- N Wambugu, Y Chen, Z Xiao, M Wei
403. A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
- E Tasci, C Uluturk, A Ugur
404. Pothole Detection Using Deep Learning and Area Assessment Using Image Manipulation
- S Kharel
405. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH
- R HAMDI, C Bouvier, T Delzescaux, C Clouchoux
406. Self-Supervised Learning for Fine-Grained Image Classification
- FA Breiki, M Ridzuan, R Grandhe
407. Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
- G Humblot-Renaux, L Marchegiani
408. Automatic lesion boundary detection in dermoscopy
- G Kechyn
409. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
- T Nickchen, S Heindorf
410. Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
- L Bondi, ED Cannas, P Bestagini
411. Segmentación objeto-fondo mediante redes convolucionales
- R Arcos Serrano
412. 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
413. 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
414. Advanced-ExtremeNet: Combined with Depthwise Separable Convolution for the Detection of Steel Bars
- S Pang, X Liu, S Mao, H Jia, B Liu
415. Background-Foreground Segmentation for Interior Sensing in Automotive Industry
- C Drygala, M Rottmann, H Gottschalk
416. Combining EfficientNet and Vision Transformers for Video Deepfake Detection
- D Coccomini, N Messina, C Gennaro
417. Image Compositing for Segmentation of Surgical Tools Without Manual Annotations
- LC Garcia-Peraza-Herrera, L Fidon
418. 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
419. Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
- S Illarionova, D Shadrin, A Trekin, V Ignatiev
420. SynFace: Face Recognition with Synthetic Data (Supplementary Materials)
- H Qiu, B Yu, D Gong, Z Li, W Liu, D Tao
421. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ СОВМЕСТНО С РЕАЛИЗАЦИЕЙ ДВАЖДЫ СТОХАСТИЧЕСКОЙ МОДЕЛИ ДЛЯ УЛУЧШЕНИЯ КАЧЕСТВА …
- НА Андриянов, ВЕ Дементьев
422. OCR-based Inventory Management Algorithms Robust to Damaged Images
- M Seo, D Kim, H Kang, D Cho
423. Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks
- P Alirezazadeh, F Rahimi-Ajdadi
424. Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning
- SAH Tabatabaei, P Fischer, S Wattendorf
425. PathML: A unified framework for whole-slide image analysis with deep learning
- AG Berman, WR Orchard, M Gehrung, F Markowetz
426. An Experimental Study of Semantic Continuity for Deep Learning Models
- S Wu, J Sang, X Zhao, L Chen
427. Deep learning-based spacecraft relative navigation methods: A survey
- J Song, D Rondao, N Aouf
428. Automatic phantom test pattern classification through transfer learning with deep neural networks
- RB Fricks, J Solomon, E Samei
429. Использование аугументаций при сегментации зданий на спутниковых снимках с помощью нейронной сети U-NET
- АО Жук, СВ Абламейко
430. Light-weight Document Image Cleanup using Perceptual Loss
- S Dey, P Jawanpuria
431. CATKit: a Color and Thermal Computer Vision toolKit and Benchmark for Cross-Modal Similarity and Semantic Segmentation
- WR Treible
432. Self Supervised Learning for Object Localisation in 3D Tomographic Images
- Y Zharov, A Ershov, T Baumbach
433. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
- PJ Navarro, L Miller, A Gila-Navarro, MV Díaz-Galián
434. Faster R-CNN model learning on synthetic images
- B Łach, E Łukasik
435. Measurement of hybrid rocket solid fuel regression rate for a slab burner using deep learning
- G Surina III, G Georgalis, SS Aphale, A Patra

Machine learning competitions

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

Open source projects

open-mmlab/mmdetection 17.3k
OpenMMLab Detection Toolbox and Benchmark
spmallick/learnopencv 15.2k
Learn OpenCV : C++ and Python Examples
deepinsight/insightface 10.7k
State-of-the-art 2D and 3D Face Analysis Project
pytorch/ignite 3.8k
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
PaddlePaddle/PaddleSeg 3.2k
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks from research to industrial applications.
NVlabs/imaginaire 2.9k
NVIDIA's Deep Imagination Team's PyTorch Library
catalyst-team/catalyst 2.8k
Accelerated deep learning R&D
ml-tooling/ml-workspace 2.3k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
saic-mdal/lama 2.0k
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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.
open-mmlab/mmpose 1.4k
OpenMMLab Pose Estimation Toolbox and Benchmark.
View all open source projects on GitHub