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Neuromation
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Deep learning research

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

List of papers that cite Albumentations

1. AutoML: A Survey of the State-of-the-Art
- X He, K Zhao, X Chu
2. Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better
- O Kupyn, T Martyniuk, J Wu
3. Automatic instrument segmentation in robot-assisted surgery using deep learning
- AA Shvets, A Rakhlin, AA Kalinin
4. Angiodysplasia detection and localization using deep convolutional neural networks
- AA Shvets, VI Iglovikov, A Rakhlin
5. Transformation-consistent self-ensembling model for semisupervised medical image segmentation
- X Li, L Yu, H Chen, CW Fu, L Xing
6. 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
7. COVID-19 prediction and detection using deep learning
- M Alazab, A Awajan, A Mesleh
8. Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
- G Marques, D Agarwal, I de la Torre Díez
9. Self-supervised learning for dense depth estimation in monocular endoscopy
- X Liu, A Sinha, M Unberath, M Ishii, GD Hager
10. Deep convolutions for in-depth automated rock typing
- EE Baraboshkin, LS Ismailova, DM Orlov
11. Video face manipulation detection through ensemble of cnns
- N Bonettini, ED Cannas, S Mandelli
12. 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
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. 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
18. U-NetPlus: a modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instrument
- SM Hasan, CA Linte
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. 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
23. 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
24. ImageNet pre-trained CNNs for JPEG steganalysis
- Y Yousfi, J Butora, E Khvedchenya
25. Automatic salt deposits segmentation: A deep learning approach
- M Karchevskiy, I Ashrapov, L Kozinkin
26. U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images
- SMK Hasan, CA Linte
27. Monitoring sugar crystallization with deep neural networks
- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu
28. Breast tumor cellularity assessment using deep neural networks
- A Rakhlin, A Tiulpin, AA Shvets
29. General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
- L Nanni, S Brahnam, S Ghidoni, G Maguolo
30. 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
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
- V Groza, A Kuzin
33. Speech driven talking face generation from a single image and an emotion condition
- SE Eskimez, Y Zhang, Z Duan
34. A framework for knowing who is doing what in aerial surveillance videos
- F Yang, S Sakti, Y Wu, S Nakamura
35. The inclusive images competition
- J Atwood, Y Halpern, P Baljekar, E Breck
36. Moiré pattern removal via attentive fractal network
- D Xu, Y Chu, Q Sun
37. Divergentnets: Medical image segmentation by network ensemble
- V Thambawita, SA Hicks, P Halvorsen
38. Image-based high-throughput detection and phenotype evaluation method for multiple lettuce varieties
- J Du, X Lu, J Fan, Y Qin, X Yang
39. Identifying melanoma images using efficientnet ensemble: Winning solution to the siim-isic melanoma classification challenge
- Q Ha, B Liu, F Liu
40. 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
41. The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
- MA Kutlugün, Y Sirin
42. Road segmentation using u-net architecture
- NYQ Abderrahim, S Abderrahim
43. Ensemble size classification in Colombian Andean string music recordings
- S Grollmisch, E Cano, FM Ángel
44. Learning accurate dense correspondences and when to trust them
- P Truong, M Danelljan, L Van Gool
45. Resources for image-based high-throughput phenotyping in crops and data sharing challenges
- MF Danilevicz, PE Bayer, BJ Nestor
46. 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
47. Semantic segmentation of smartphone wound images: Comparative analysis of AHRF and CNN-based approaches
- A Wagh, S Jain, A Mukherjee, E Agu
48. Real-time tracking of guidewire robot tips using deep convolutional neural networks on successive localized frames
- I Ullah, P Chikontwe, SH Park
49. Daugnet: Unsupervised, multisource, multitarget, and life-long domain adaptation for semantic segmentation of satellite images
- O Tasar, A Giros, Y Tarabalka, P Alliez
50. Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation
- H Qiu, Y Zeng, S Guo, T Zhang, M Qiu
51. 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
52. The study of improving the accuracy of convolutional neural networks in face recognition tasks
- N Andriyanov, V Dementev, A Tashlinskiy
53. A load frame for in situ tomography at PETRA III
- J Moosmann, DCF Wieland
54. Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
- L Sharan, G Romano, S Koehler, H Kelm
55. Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images
- H Wieslander, PJ Harrison, G Skogberg
56. Road damage detection and classification with detectron2 and faster r-cnn
- V Pham, C Pham, T Dang
57. Vehicle-rear: A new dataset to explore feature fusion for vehicle identification using convolutional neural networks
- IO De Oliveira, R Laroca, D Menotti
58. Image Stylization for Robust Features
- I Melekhov, GJ Brostow, J Kannala
59. 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
60. Weighted ensemble object detection with optimized coefficients for remote sensing images
- A Körez, N Barışçı, A Çetin, U Ergün
61. Benchmark for generic product detection: a low data baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
62. The impact of padding on image classification by using pre-trained convolutional neural networks
- H Tang, A Ortis, S Battiato
63. Deep Depth From Aberration Map
- M Kashiwagi, N Mishima
64. A novel approach to data augmentation for pavement distress segmentation
- D Mazzini, P Napoletano, F Piccoli, R Schettini
65. 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
66. Retinopathy diagnosis using semi-supervised multi-channel generative adversarial network
- Y Xie, Q Wan, G Chen, Y Xu, B Lei
67. A weak supervision machine vision detection method based on artificial defect simulation
- C Li, Y Huang, H Li, X Zhang
68. Vision Transformer based COVID-19 Detection using Chest X-rays
- KS Krishnan, KS Krishnan
69. Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas
- N Zioulis, F Alvarez, D Zarpalas, P Daras
70. Adapting Convolutional Neural Networks for Geographical Domain Shift
- P Ostyakov, SI Nikolenko
71. 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
72. Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms
- V Guryanova
73. Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
- F Maleki, N Muthukrishnan, K Ovens
74. Improving semi-supervised learning for audio classification with FixMatch
- S Grollmisch, E Cano
75. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models
- C von Koch, W Anzén
76. An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
- B Liebl, M Burghardt
77. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet
- A Sheka, V Samun, T Chumarnaya
78. Benchmark for generic product detection: a strong baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
79. Multi-level dilated residual network for biomedical image segmentation
- NR Gudhe, H Behravan, M Sudah, H Okuma
80. Defect Detection of Metal Nuts Applying Convolutional Neural Networks
- D Sauter, A Schmitz, F Dikici
81. Addressing materials' microstructure diversity using transfer learning
- A Goetz, AR Durmaz, M Müller, A Thomas
82. A Dual-stream Framework for 3D Mask Face Presentation Attack Detection
- S Chen, T Yao, K Zhang, Y Chen
83. Deep learning for retail product recognition: Challenges and techniques
- Y Wei, S Tran, S Xu, B Kang, M Springer
84. Training on Polar Image Transformations Improves Biomedical Image Segmentation
- M Benčević, I Galić, M Habijan, D Babin
85. Use of images augmentation and implementation of doubly stochastic models for improving accuracy of recognition algorithms based on convolutional neural …
- VE Dementyiev, NA Andriyanov
86. Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
- S Mandelli, N Bonettini, P Bestagini
87. A hybrid deep convolutional neural network for accurate land cover classification
- N Wambugu, Y Chen, Z Xiao, M Wei, SA Bello
88. A modular region and text line layout analysis system
- B Kiessling
89. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
- FS Herrera, JM Saavedra
90. A Deep learning approach to Hazard detection for Autonomous Lunar landing
- R Moghe, R Zanetti
91. An Efficient Solution for Semantic Segmentation of Three Ground‐based Cloud Datasets
- Q Song, Z Cui, P Liu
92. A flatter loss for bias mitigation in cross-dataset facial age estimation
- A Akbari, M Awais, Z Feng, A Farooq
93. Global adaptive filtering layer for computer vision
- V Shipitsin, I Bespalov, DV Dylov
94. Localization of cementoenamel junction in intraoral ultrasonographs with machine learning
- KCT Nguyen, BM Le, M Li, FT Almeida, PW Major
95. 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
96. MixChannel: Advanced Augmentation for Multispectral Satellite Images
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
97. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery Using Deep Learning Techniques
- O Baghirli, I Ibrahimli, T Mammadzada
98. Exploiting sample correlation for crowd counting with multi-expert network
- X Liu, G Li, Z Han, W Zhang, Y Yang
99. 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
100. Method for Whale Re-identification Based on Siamese Nets and Adversarial Training
- W Wang, RA Solovyev, AL Stempkovsky
101. Multi-class brain tumor segmentation via multi-sequences mri mixture data preprocessing
- A Letyagin, S Golushko, M Amelin
102. Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images
- SR Kundeti, MA Ansari, A Sanin
103. Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model
- Z Jiang, Z Dong, L Wang, W Jiang
104. An affordable image-analysis platform to accelerate stomatal phenotyping During microscopic observation
- Y Toda, T Tameshige, M Tomiyama
105. DCNN-based Screw Classification in Automated Disassembly Processes.
- E Yildiz, F Wörgötter
106. A Semi-Self-Supervised Learning Approach for Wheat Head Detection Using Extremely Small Number of Labeled Samples
- K Najafian, A Ghanbari, I Stavness
107. Semi-automatic Manga Colorization Using Conditional Adversarial Networks.
- M Golyadkin, I Makarov
108. Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine
- I Khokhlov, L Krasnov, MV Fedorov
109. 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
110. Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
- C Dasanayaka, MB Dissanayake
111. Arrow R-CNN for handwritten diagram recognition
- B Schäfer, M Keuper, H Stuckenschmidt
112. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
- A Signoroni, M Savardi, S Benini, N Adami
113. Estimating displaced populations from overhead
- A Hadzic, G Christie, J Freeman
114. 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
115. Cats: Cost aggregation transformers for visual correspondence
- S Cho, S Hong, S Jeon, Y Lee
116. 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
117. H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
- N Marini, M Atzori, S Otálora
118. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences
- AY Kondratiev, H Yaginuma, Y Okada
119. Landslide segmentation with u-net: Evaluating different sampling methods and patch sizes
- LP Soares, HC Dias, CH Grohmann
120. Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images
- G Pavoni, M Corsini, N Pedersen, V Petrovic
121. MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble
- J Marti Asenjo, A Martinez-Larraz Solís
122. Automatic sorting of Dwarf Minke Whale underwater images
- DA Konovalov, N Swinhoe, DB Efremova, RA Birtles
123. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation
- V Groza, B Tuchinov, E Pavlovskiy
124. On the Cross-dataset Generalization for License Plate Recognition
- R Laroca, EV Cardoso, DR Lucio, V Estevam
125. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
- N Mishima, T Kozakaya, A Moriya, R Okada
126. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets
- Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong
127. CRNNs for Urban Sound Tagging with spatiotemporal context
- A Arnault, N Riche
128. Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business
- J Mizgajski, A Szymczak, M Morzy
129. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
- A Abedalla, M Abdullah, M Al-Ayyoub
130. Convolutional Neural Network for Drowsiness Detection Using EEG Signals
- S Chaabene, B Bouaziz, A Boudaya, A Hökelmann
131. Danish Fungi 2020-Not Just Another Image Recognition Dataset
- L Picek, M Šulc, J Matas
132. 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
133. Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique
- MHK Khel, K Kadir, W Albattah, S Khan
134. MaskHunter: real-time object detection of face masks during the COVID-19 pandemic
- Z Cao, M Shao, L Xu, S Mu, H Qu
135. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
- H Chen, C Lian, L Wang
136. Flood detection with sentinel-2 satellite images in crisis management systems
- A Moumtzidou, M Bakratsas, S Andreadis
137. 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
138. Exploring 2D data augmentation for 3D monocular object detection
- K Santhakumar, BR Kiran, T Gauthier
139. AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
- Y Yin, D Xu, X Wang, L Zhang
140. 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
141. Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation
- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev
142. Safe augmentation: Learning task-specific transformations from data
- I Baran, O Kupyn, A Kravchenko
143. 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
144. Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing
- J You, Z Hu, C Peng, Z Wang
145. Contextual pyramid attention network for building segmentation in aerial imagery
- C Sebastian, R Imbriaco, E Bondarev
146. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection
- R Lõuk, A Tepljakov, A Riid
147. Augmentation-based object detection for winter time applications
- R Yagfarov, V Ostankovich
148. Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
- MN Rizve, S Khan, FS Khan
149. Semantic Segmentation of Low Earth Orbit Satellites using Convolutional Neural Networks
- J Yang, J Lucas, T Kyono, M Abercrombie, J Fletcher
150. When texture matters: texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection
- E Wetzer, J Gay, H Harlin, J Lindblad
151. Combining efficientnet and vision transformers for video deepfake detection
- D Coccomini, N Messina, C Gennaro
152. Urban Sound Classification: striving towards a fair comparison
- A Arnault, B Hanssens, N Riche
153. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images
- I Trimeche, F Rossant, I Bloch
154. A U-Net Based Approach for Automating Tribological Experiments
- B Staar, S Bayrak, D Paulkowski, M Freitag
155. Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks
- P Alirezazadeh, F Rahimi-Ajdadi
156. 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
157. PathML: A unified framework for whole-slide image analysis with deep learning
- AG Berman, WR Orchard, M Gehrung, F Markowetz
158. Understanding the decisions of CNNs: An in-model approach
- I Rio-Torto, K Fernandes, LF Teixeira
159. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …
- СВ Кравченко, АВ Алексеев, ЮА Орлова
160. Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
- A Riabi, T Scialom, R Keraron, B Sagot
161. Rotation Augmentation for Head Pose Estimation Problem
- A Sheka, V Samun
162. A review of medical image data augmentation techniques for deep learning applications
- P Chlap, H Min, N Vandenberg
163. Artificial Intelligence based identification of Total Knee Arthroplasty Implants
- S Ghose, S Datta, V Batta, C Malathy
164. On-line hazard detection algorithm for precision lunar landing using semantic segmentation
- R Moghe, R Zanetti
165. Multimodal Approach for DeepFake Detection
- M Lomnitz, Z Hampel-Arias
166. SwiftSRGAN--Rethinking Super-Resolution for Efficient and Real-time Inference
- KS Krishnan, KS Krishnan
167. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images
- Q Liu, M Kampffmeyer, R Jenssen
168. A CNN-based length-aware cascade road damage detection approach
- H Xu, B Chen, J Qin
169. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography
- Y Tian, S Xu, L Guo, F Cong
170. Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
- A Sheka, V Samun
171. Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
- G Pombo, R Gray, J Cardoso, S Ourselin
172. Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations
- N Marini, S Otálora, F Ciompi
173. Deep Learning object detection architectures in ADAS
- U Otamendi Etxabe
174. Digital Peter: Dataset, Competition and Handwriting Recognition Methods
- M Potanin, D Dimitrov, A Shonenkov, V Bataev
175. ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
- MB Pereira, JA dos Santos
176. Remote Sensing Image Captioning with Continuous Output Neural Models
- R Ramos, B Martins
177. 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
178. Prior Attention Network for Multi-Lesion Segmentation in Medical Images
- X Zhao, P Zhang, F Song, C Ma, G Fan, Y Sun
179. SynFace: Face Recognition with Synthetic Data
- H Qiu, B Yu, D Gong, Z Li, W Liu
180. 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
181. Built-in Elastic Transformations for Improved Robustness
- S Gulshad, I Sosnovik, A Smeulders
182. Smartphone Glass Inspection System.
- S Turko, L Burmak, I Malyshev, S Shtykov, M Popov
183. Main areas detection on tennis courts
- J Arroyave Lopez, RA Echavarria Echeverri
184. Tolerant Semantic Segmentation for Aerial Logistics
- S Wang, F Maffra, R Mascaro, L Teixeira
185. Efficient Palm-Line Segmentation with U-Net Context Fusion Module
- TP Van, ST Nguyen, LB Doan, NN Tran
186. Ultra Light OCR Competition Technical Report
- S Zhang, Y Zou, T Wang, Y Xiong
187. Deep-learning based segmentation of challenging myelin sheaths
- T Le Couedic, R Caillon, F Rossant
188. Evaluating the Performance of Synthetic Visual Data for Real-Time Object Detection
- J Adams, J Sutor, A Dodd
189. Digging Into Self-Supervised Learning of Feature Descriptors
- I Melekhov, Z Laskar, X Li, S Wang
190. Enhancing the Prediction Accuracy of Solar Power Generation using a Generative Adversarial Network
- K Thonglek, K Ichikawa, K Takahashi
191. Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
- E Khvedchenya, T Gabruseva
192. Point Proposal based Instance Segmentation with Rectangular Masks for Robot Picking Task
- S Ito, S Kubota
193. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
- A Martínez Mora
194. Neural Mesh Refiner for 6-DoF Pose Estimation
- D Wu, Y Chen, X Qi, Y Yu, W Chen, R Xiao
195. Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
- M Ryabinin, A Malinin, M Gales
196. Classification and understanding of cloud structures via satellite images with EfficientUNet
- T Ahmed, NHN Sabab
197. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation
- W Luo, M Lin, L Chen, B Peng
198. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus
- V Vyšniauskas
199. Geometric Computer Vision Techniques for Scene Reconstruction
- E Riba Pi
200. Self-supervised Audiovisual Representation Learning for Remote Sensing Data
- K Heidler, L Mou, D Hu, P Jin, G Li, C Gan
201. Improving deep learning sorghum head detection through test time augmentation
- C Gonzalo-Martín, A García-Pedrero
202. Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain
- C Bouvier, N Souedet, J Levy, C Jan, Z You
203. 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
204. Deepfake Detection Scheme Based on Vision Transformer and Distillation
- YJ Heo, YJ Choi, YW Lee, BG Kim
205. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …
- ВЕ Дементьев, НА Андриянов
206. Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
- VT Pham, CM Tran, S Zheng, TM Vu
207. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
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208. AUTOMATED QUANTIFICATION OF VITREOUS HYPERREFLECTIVE FOCI AND VITREOUS HAZE USING OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS …
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209. Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
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210. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
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211. Re-Identificação de veículos em uma rede de câmeras não sobrepostas
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212. Body Part Regression for CT Images
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213. Segmentation of Polyp Instruments using UNet based deep learning model
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214. A Battery-Powered Friend: Towards Embedded Emotion Recognition
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215. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
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216. Identificación de etiquetas en líneas de manufactura
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217. Automatic fault mapping in remote optical images and topographic data with deep learning
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218. Analysis of medical images using deep learning
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219. Brain tumor classification on the patient level using attention-based AI methods and multi-sequences MRI
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220. Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models
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221. Early Detection of Malpositioned Catheters and Lines on Chest X-Rays using Deep Learning
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222. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review
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223. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors
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224. ClipAssistNet: bringing real-time safety feedback to operating rooms
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225. Obstacle Detection for BVLOS Drones
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226. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
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227. Training An Embedded Object Detector For Industrial Settings Without Real Images
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228. SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
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229. FruitDet: Attentive Feature Aggregation for Real-Time Fruit Detection in Orchards
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230. Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2
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231. Local Climate Zone Classification Using Multi-Scale Convolutional Neural Networks
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232. Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation
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233. A comparative study between vision transformers and CNNs in digital pathology
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234. Densely Connected Feature Pyramid Network for Image Segmentation
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235. Automated measurement of Vickers hardness using image segmentation with neural networks
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236. Feature-based image registration in structured light endoscopy
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237. 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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238. Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing
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239. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
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240. Extracting text from scanned Arabic books: a large-scale benchmark dataset and a fine-tuned Faster-R-CNN model
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241. MobileNet SSD: étude d'un détecteur d'objets embarquable entraîné sans images réelles
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242. Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
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243. Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning
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244. Analysis of the paraspinal muscle morphology of the lumbar spine using a convolutional neural network (CNN)
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245. Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma
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246. SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation
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247. Principled Ultrasound Data Augmentation for Classification of Standard Planes
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248. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition
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249. Video and Sensor-Based Rope Pulling Detection in Sport Climbing
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250. 基于编码-解码器架构的光场深度估计方法
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251. Differentiable data augmentation with Kornia
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252. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition
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253. Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
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254. SCSS-Net: solar corona structures segmentation by deep learning
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255. A Simple Data Augmentation Method to Improve the Performance of Named Entity Recognition Models in Medical Domain
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256. Artificial intelligence and image processing in the MIRET approach for the water detection and integrated geotechnical management of existing mechanized …
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257. Considering multiple failure modes: A comparison of probabilistic analysis and multi-modal optimization for a 3D slope stability case stud y
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258. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels
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259. Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
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260. Deep learning for Earth Sciences
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261. Multi-view automated chest radiography interpretation
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262. High-resolution photoacoustic microscopy with deep penetration through learning
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263. Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
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264. Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System
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265. Refinement Network for unsupervised on the scene Foreground Segmentation
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266. Defect detection in welding radiographic images based on semantic segmentation methods
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267. Deep learning-based spacecraft relative navigation methods: A survey
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268. Social Distancing Detection and Analysis through Computer Vision
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269. 车载探地雷达地下目标实时探测法
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271. The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning
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272. Multi-Label Contrastive Learning for Abstract Visual Reasoning
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273. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review
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274. Fine-Scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs
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275. Robust Object Detection with Multi-input Multi-output Faster R-CNN
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276. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas
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277. Deep local directional embeddings para detección de objetos
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278. Artificial colorization of digitized microfilms and its impact on other tasks
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279. Detecting aerial objects: drones, birds, and helicopters
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280. Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
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281. Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images
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282. Breast Tumor Cell Nuclei Segmentation in Histopathology Images using EfficientUnet++ and Multi-organ Transfer Learning
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283. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
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284. A Deep Learning Approach for Complex Microstructure Inference
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285. FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks
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286. Depth Estimation of Martian Surface using ISRO's MARS Color Camera Images
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287. 3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
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288. Programmer Sought
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289. Deepfake detection using neural networks
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290. A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach
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291. Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
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292. Disease detection in rice leaves using transfer learning techniques
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293. Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction
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294. Automated Annotator Variability Inspection for Biomedical Image Segmentation
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295. TauMed: test augmentation of deep learning in medical diagnosis
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296. DBA_SSD: A Novel End-to-End Object Detection Algorithm Applied to Plant Disease Detection
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297. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
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298. Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis.
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299. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
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300. Few-shot learning with a novel Voronoi tessellation-based image augmentation method for facial palsy detection
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301. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision
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302. Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning
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303. Super-Resolution: 2. Machine Learning-Based Approach
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304. GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification
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305. Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives
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306. Investigation of Methods for Increasing the Efficiency of Convolutional Neural Networks in Identifying Tennis Players
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307. Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation
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308. Season-invariant GNSS-denied visual localization for UAVs
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309. Semantic Correspondence with Transformers
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310. Dermoscopic attributes classification using deep learning and multi-task learning
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311. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus
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312. FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild
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313. Autonomous unmanned aerial vehicles and deep learning-based damage detection
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314. Anomaly Detection for In situ Marine Plankton Images
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315. The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
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316. An interactive system for muscle and fat tissue identification of the lumbar spine using semantic segmentation
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317. Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters
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318. Scaling the U-net: segmentation of biodegradable bone implants in high-resolution synchrotron radiation microtomograms
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319. Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers
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320. GreedyCenters: Satellite imagery adaptive sampling method for artificial neural networks training
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321. Model Faster R-CNN uczony na syntetycznych obrazach
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322. Analyzing Deep Learning Models' Generalization Ability Under Different Augmentations on Deepfake Datasets
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323. Data Augmentation for JPEG Steganalysis
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324. A Robust System to Detect and Explain Public Mask Wearing Behavior
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325. Waste detection in Pomerania: non-profit project for detecting waste in environment
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326. CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning
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327. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e …
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328. Approach to weld segmentation and defect classification in radiographic images of pipe welds
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329. Two-Stream Convolutional Neural Network Based on Gradient Image for Aluminum Profile Surface Defects Classification and Recognition
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330. Application of one-stage instance segmentation with weather conditions in surveillance cameras at construction sites
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331. Local climate zone classification using a multi-scale, multi-level attention network
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332. Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image Segmentation
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333. Data Augmentations for Document Images.
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334. The Role of Data for One-Shot Semantic Segmentation
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335. Systematic investigation of Basic Data Augmentation Strategies on Histopathology Images
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336. Semantic Segmentation of Iron Ore Pellets in the Cloud
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337. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS
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338. Using Channel and Network Layer Pruning Based on Deep Learning for Real-Time Detection of Ginger Images
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339. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
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340. Semi-Supervised Learning for Cervical Precancer Detection
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341. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
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342. Reducing redundancy in Semantic-KITTI: Study on data augmentations within Active Learning
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343. A Review of Remote Sensing Applications on Very High-Resolution Imagery Using Deep Learning-Based Semantic Segmentation Techniques
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344. End-to-end privacy preserving deep learning on multi-institutional medical imaging
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345. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
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346. Fiscal classification using convolutional neural network
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347. A Self-Supervised Contrastive Learning Approach for Whole Slide Image Representation in Digital Pathology
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348. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
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349. Application of shared backbone DNNs in ADAS perception systems
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350. 机器视觉应用中的图像数据增广综述
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351. CASS Studies
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352. TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics
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353. A spatial AI-based agricultural robotic platform for collision avoidance and disease detection in crops
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354. Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases
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355. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
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356. BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images
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357. 3D convolutional neural networks for stalled brain capillary detection
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358. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
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359. A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
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360. Domain Adaptation for Multi-Organ Nuclei Segmentation
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361. Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy
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362. Variational Beam Search for Novelty Detection
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363. ForgeryNet--Face Forgery Analysis Challenge 2021: Methods and Results
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364. Deepfake detection using capsule networks with long short-term memory networks
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365. Warp Consistency for Unsupervised Learning of Dense Correspondences
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366. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных
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367. Landslide susceptibility prediction based on image semantic segmentation
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368. End-to-End Optical Character Recognition for Bengali Handwritten Words
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369. Battery Pack Part Detection and Disassembly Verification Using Computer Vision
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370. Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms
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371. Supplementary Materials for “End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI”
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372. 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
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373. A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
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374. SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
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375. Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects
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376. Evaluating the application of a computer vision model in the customer service chatbot of an electric utility
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377. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy
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378. Densely-Populated Traffic Detection Using YOLOv5 and Non-maximum Suppression Ensembling
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379. Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches WPI Technical Report WPI-CS-TR-19-02
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380. Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study
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381. Balanced Masked and Standard Face Recognition
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382. A multi-modal approach to forensic audio-visual device identification
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383. Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
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384. FilterNet: self-supervised learning for high-resolution photo enhancement
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385. Generative augmentation to improve lung nodules detection in resource-limited settings
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386. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
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387. Comparison of the MultiRes U-Net and the classical U-Net on the performance of kidney and kidney tumor segmentation
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388. Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation
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389. On Attribution of Deepfakes
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390. Side-Scan Sonar Image Synthesis Based on Generative Adversarial Network for Images in Multiple Frequencies
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391. Efficient attention-based deep encoder and decoder for automatic crack segmentation
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392. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
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393. Automatic Snake Classification using Deep Learning Algorithm
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394. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
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395. Targeting the zebrafish eye using deep learning-based image segmentation
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396. Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
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397. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
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398. Classification of Chest X-ray Images Using Machine Learning Techniques
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399. Image-based wheat fungi diseases identification by deep learning
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400. Deep Learning-based Object Understanding for Robotic Manipulation
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401. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
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402. Autonomous Mobile Robot for Apple Plant Disease Detection based on CNN and Multi-Spectral Vision System
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403. Encoder-Recurrent Decoder Network for Single Image Dehazing
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404. Application of neural networks to image recognition of wheat rust diseases
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405. Towards Rotation Invariance in Object Detection
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406. Recognition Recipes with Deep Machine Learning
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407. Segmentation of Polyps in Gastrointestinal Tract Images
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408. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sens. 2021, 13, 729
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409. Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
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410. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
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411. Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models
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412. NoGAN: Deblurring Images without Adversarial Training
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413. Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
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414. Multi-Stream Deep Convolutional Neural Network for PET Preform Surface Defects Detection and Classification
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415. A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification
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416. What's wrong with this video? Comparing Explainers for Deepfake Detection
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417. Image Segmentation of Adenovirus Particles in Food Vacuoles of Eukaryotic Organisms
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418. End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
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419. Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism
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420. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS
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421. Exploitation of data augmentation strategies for improved UAV detection
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422. A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket …
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423. GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling for One-Hot Encoded Data
- M Scott, J Plested
424. FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
- P Tang, X Yan, Y Nan, S Xiang, S Krammer
425. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms
- P Miralles Roure
426. Data Augmentation with Illumination Correction in Sematic Segmentation
- H Liu, C Wang, Y Peng
427. Helping Biologists Find Whales: AI-in-the-Loop Support for Environmental Dataset Creation
- M Gheibi
428. CrackWeb: A modified U-Net based segmentation architecture for crack detection
- S Ghosh, S Singh, A Maity
429. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
- LF Henriques, S Colcher, RL Milidiú, A Bulcão
430. Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensities in Different Datasets of Brain MRI
- R Maulana, MF Rachmadi
431. Detecting subsurface drainage pipes using a fully convolutional network with optical images
- H Song, DK Woo, Q Yan
432. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images
- VS Samun, AS Sheka, TV Chumarnaya
433. ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
- N Ghamsarian, M Taschwer
434. MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels
- P Gómez, G Meoni
435. A deep learning based object identification system for forest fire detection
- F Guede-Fernández, L Martins, RV Almeida
436. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
- Q Liu, M Kampffmeyer, R Jenssen
437. Deep Learning Classification Experiments on the Texas Colorado River Delta
- L Su, J Gibeaut, J Magolan
438. Using deep learning for food recognition
- L Zhu
439. Cost Aggregation Is All You Need for Few-Shot Segmentation
- S Hong, S Cho, J Nam, S Kim
440. Распознавание отражающих горизонтов с помощью сверточной нейронной сети
- АЭ Грибуль, АИ Ненюкова, ВЛ Рыжов
441. Rubik's Cube layout construction and validation algorithm
- B Borkivskyi
442. Annotation quality vs. quantity for deep-learned medical image segmentation
- T Wesemeyer, ML Jauer
443. Automated Annotation of in Vitro Fertilization Time-Lapse Using Deep Neural Network
- CM Louis, A Erwin, M Galinium
444. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
- B Liebl, M Burghardt
445. Segmentation of Polyp Instruments using UNet based deep learning model
- A Mirza, RK Rajak
446. Weakly-supervised individual human cell classification
- D Kolinko
447. PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
- L Melas-Kyriazi, AK Manrai
448. Variational Beam Search for Learning with Distribution Shifts
- A Li, A Boyd, P Smyth, S Mandt
449. DFGC 2021: A DeepFake Game Competition
- B Peng, H Fan, W Wang, J Dong, Y Li, S Lyu
450. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
451. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning
- CCG Sarasa, JDO Pabón
452. Spectral decoupling allows training transferable neural networks in medical imaging
- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti
453. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
- A Laugros, A Caplier, M Ospici
454. Ring artifacts segmentation on microtomographic images by convolutional neural networks
- A Kornilov, I Safonov
455. Potholes Detection Using Deep Learning and Area Estimation Using Image Processing
- S Kharel, KR Ahmed
456. Real-Time Image Registration via A Deep Leaning Approach for Correlative X-ray and Electron Microscopy
- Y Luo, N Zaluzec, M Cherukara, X Wu
457. Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey
- B Zhou, X Yang, WJ Curran, T Liu
458. Visual detection and tracking algorithms for minimally invasive surgical instruments: A comprehensive review of the state-of-the-art
- Y Wang, Q Sun, Z Liu, L Gu
459. Video monitoring over anti-decubitus protocol execution with a deep neural network to prevent pressure ulcer
- I Danilovich, V Moshkin, A Reimche
460. Image-Based Wheat Fungi Diseases Identification by Deep Learning. Plants 2021, 10, 1500
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova
461. A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
- E Tasci, C Uluturk, A Ugur
462. Learning an augmentation strategy for sparse datasets
- RB Arantes, G Vogiatzis, DR Faria
463. Pothole Detection Using Deep Learning and Area Assessment Using Image Manipulation
- S Kharel
464. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH
- R HAMDI, C Bouvier, T Delzescaux, C Clouchoux
465. Self-Supervised Learning for Fine-Grained Image Classification
- FA Breiki, M Ridzuan, R Grandhe
466. Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
- G Humblot-Renaux, L Marchegiani
467. Automatic lesion boundary detection in dermoscopy
- G Kechyn
468. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
- T Nickchen, S Heindorf
469. Evaluating Generic Auto-ML Tools for Computational Pathology
- LO Schwen, D Schacherer, C Geißler
470. Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
- L Bondi, ED Cannas, P Bestagini
471. FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
- V Borsuk, R Vei, O Kupyn, T Martyniuk
472. Micromobility safety applications using AI
- J Prats Cristià
473. Automatic Fungi Recognition: Deep Learning Meets Mycology
- L Picek, M Šulc, J Matas, J Heilmann-Clausen
474. Effectiveness of Data Augmentation in Multi-class Face Recognition
- P Rahmatullah, TF Abidin
475. Deepfake detection by human crowds, machines, and machine-informed crowds
- M Groh, Z Epstein, C Firestone
476. Segmentación objeto-fondo mediante redes convolucionales
- R Arcos Serrano
477. 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
478. Advanced-ExtremeNet: Combined with Depthwise Separable Convolution for the Detection of Steel Bars
- S Pang, X Liu, S Mao, H Jia, B Liu
479. Background-Foreground Segmentation for Interior Sensing in Automotive Industry
- C Drygala, M Rottmann, H Gottschalk
480. Image Compositing for Segmentation of Surgical Tools Without Manual Annotations
- LC Garcia-Peraza-Herrera, L Fidon
481. 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
482. Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
- S Illarionova, D Shadrin, A Trekin, V Ignatiev
483. Smart pothole detection using deep learning based on dilated convolution
- KR Ahmed
484. SynFace: Face Recognition with Synthetic Data (Supplementary Materials)
- H Qiu, B Yu, D Gong, Z Li, W Liu, D Tao
485. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ СОВМЕСТНО С РЕАЛИЗАЦИЕЙ ДВАЖДЫ СТОХАСТИЧЕСКОЙ МОДЕЛИ ДЛЯ УЛУЧШЕНИЯ КАЧЕСТВА …
- НА Андриянов, ВЕ Дементьев
486. OCR-based Inventory Management Algorithms Robust to Damaged Images
- M Seo, D Kim, H Kang, D Cho
487. Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning
- SAH Tabatabaei, P Fischer, S Wattendorf
488. An Experimental Study of Semantic Continuity for Deep Learning Models
- S Wu, J Sang, X Zhao, L Chen
489. Flood Detection Using Real-Time Image Segmentation from Unmanned Aerial Vehicles on Edge-Computing Platform
- D Hernández, JM Cecilia, JC Cano, CT Calafate
490. Automatic phantom test pattern classification through transfer learning with deep neural networks
- RB Fricks, J Solomon, E Samei
491. Использование аугументаций при сегментации зданий на спутниковых снимках с помощью нейронной сети U-NET
- АО Жук, СВ Абламейко
492. Light-weight Document Image Cleanup using Perceptual Loss
- S Dey, P Jawanpuria
493. CATKit: a Color and Thermal Computer Vision toolKit and Benchmark for Cross-Modal Similarity and Semantic Segmentation
- WR Treible
494. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches
- YV Fedotova, RUI Epifanov, AA Karpenko
495. Self Supervised Learning for Object Localisation in 3D Tomographic Images
- Y Zharov, A Ershov, T Baumbach
496. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
- PJ Navarro, L Miller, A Gila-Navarro, MV Díaz-Galián
497. Faster R-CNN model learning on synthetic images
- B Łach, E Łukasik
498. 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 18.1k
OpenMMLab Detection Toolbox and Benchmark
spmallick/learnopencv 15.6k
Learn OpenCV : C++ and Python Examples
deepinsight/insightface 11.1k
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 3.6k
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, etc.
NVlabs/imaginaire 3.1k
NVIDIA's Deep Imagination Team's PyTorch Library
catalyst-team/catalyst 2.8k
Accelerated deep learning R&D
saic-mdal/lama 2.6k
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
ml-tooling/ml-workspace 2.4k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
open-mmlab/mmpose 1.6k
OpenMMLab Pose Estimation Toolbox and Benchmark.
azavea/raster-vision 1.5k
An open source framework for deep learning on satellite and aerial imagery.
toandaominh1997/EfficientDet.Pytorch 1.4k
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
View all open source projects on GitHub