Industry

www.lyft.com
www.x5.ru
imedhub.org
recursionpharma.com
www.everypixel.com
neuromation.io

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. Automatic instrument segmentation in robot-assisted surgery using deep learning
- AA Shvets, A Rakhlin, AA Kalinin
2. Angiodysplasia detection and localization using deep convolutional neural networks
- AA Shvets, VI Iglovikov, A Rakhlin
3. Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better
- O Kupyn, T Martyniuk, J Wu
4. AutoML: A Survey of the State-of-the-Art
- X He, K Zhao, X Chu
5. Self-supervised learning for dense depth estimation in monocular endoscopy
- X Liu, A Sinha, M Unberath, M Ishii, GD Hager
6. Camera model identification using convolutional neural networks
- A Kuzin, A Fattakhov, I Kibardin
7. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
- X Li, L Yu, H Chen, CW Fu, L Xing
8. U-NetPlus: a modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instrument
- SM Hasan, CA Linte
9. Deep convolutions for in-depth automated rock typing
- EE Baraboshkin, LS Ismailova, DM Orlov
10. Automatic salt deposits segmentation: A deep learning approach
- M Karchevskiy, I Ashrapov, L Kozinkin
11. Semi-supervised segmentation of salt bodies in seismic images using an ensemble of convolutional neural networks
- Y Babakhin, A Sanakoyeu, H Kitamura
12. Breast tumor cellularity assessment using deep neural networks
- A Rakhlin, A Tiulpin, AA Shvets
13. General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
- L Nanni, S Brahnam, S Ghidoni, G Maguolo
14. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
- Á Casado-García, C Domínguez
15. 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
16. A framework for knowing who is doing what in aerial surveillance videos
- F Yang, S Sakti, Y Wu, S Nakamura
17. U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images
- SMK Hasan, CA Linte
18. Moiré pattern removal via attentive fractal network
- D Xu, Y Chu, Q Sun
19. Real-time tracking of guidewire robot tips using deep convolutional neural networks on successive localized frames
- I Ullah, P Chikontwe, SH Park
20. A load frame for in situ tomography at PETRA III
- J Moosmann, DCF Wieland
21. Adapting Convolutional Neural Networks for Geographical Domain Shift
- P Ostyakov, SI Nikolenko
22. Dense Dilated Convolutions' Merging Network for Land Cover Classification
- Q Liu, M Kampffmeyer, R Jenssen
23. StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
- O Tasar, Y Tarabalka, A Giros
24. The Impact of Padding on Image Classification by Using Pre-trained Convolutional Neural Networks
- H Tang, A Ortis, S Battiato
25. 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
26. Safe augmentation: Learning task-specific transformations from data
- I Baran, O Kupyn, A Kravchenko
27. EasyAug: An automatic textual data augmentation platform for classification tasks
- S Qiu, B Xu, J Zhang, Y Wang, X Shen
28. The Effects of Augmented Training Dataset on Performance of Convolutional Neural Networks in Face Recognition System
- MA Kutlugün, Y Sirin
29. On-line hazard detection algorithm for precision lunar landing using semantic segmentation
- R Moghe, R Zanetti
30. COVID-19 Prediction and Detection Using Deep Learning
- M Alazab, A Awajan, A Mesleh, A Abraham, V Jatana
31. Deep Learning object detection architectures in ADAS
- UO Etxabe, AG Basauri
32. Video Face Manipulation Detection Through Ensemble of CNNs
- N Bonettini, ED Cannas, S Mandelli, L Bondi
33. Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network
- Y Xie, Q Wan, G Chen, Y Xu, B Lei
34. Road Segmentation using U-Net architecture
- NYQ Abderrahim, S Abderrahim
35. Neural Mesh Refiner for 6-DoF Pose Estimation
- D Wu, Y Chen, X Qi, Y Jian, W Chen, R Xiao
36. A Battery-Powered Friend: Towards Embedded Emotion Recognition
- P Shved
37. Analysis of medical images using deep learning
- A Utegulov
38. Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms
- V Guryanova
39. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review
- B Zhou, X Yang, T Liu
40. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet
- A Sheka, V Samun, T Chumarnaya
41. Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection
- S Varadarajan, S Kant, MM Srivastava
42. The Inclusive Images Competition
- J Atwood, Y Halpern, P Baljekar, E Breck
43. How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?
- S Koehler, A Tandon, T Hussain, H Latus
44. Automatic Sorting of Dwarf Minke Whale Underwater Images
- DA Konovalov, N Swinhoe, DB Efremova, RA Birtles
45. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e conjunto
- FVM Perez
46. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation
- V Groza, B Tuchinov, E Pavlovskiy, E Amelina
47. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
- N Mishima, T Kozakaya, A Moriya, R Okada
48. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection
- LM Ellefsen
49. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- FVM Perez
50. Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches WPI Technical Report WPI-CS-TR-19-02
- A Wagh
51. Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images
- A Körez, N Barışçı, A Çetin, U Ergün
52. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- AY Wagh
53. Urban Sound Tagging using Convolutional Neural Networks
- S Adapa
54. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks
- A Zhuchkov, D Prokhorov, V Gusev
55. 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
56. Encoder-Recurrent Decoder Network for Single Image Dehazing
- A Dang, TH Vu, JC Wang
57. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
- A Kozlov
58. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.
- H Chen, C Lian, L Wang
59. End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays
- A Signoroni, M Savardi, S Benini, N Adami
60. GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling for One-Hot Encoded Data
- M Scott, J Plested
61. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection
- FS Herrera, JM Saavedra
62. An Efficient Solution for Semantic Segmentation of Three Ground‐based Cloud Datasets
- Q Song, Z Cui, P Liu
63. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
- A Kalinin
64. DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images
- O Tasar, A Giros, Y Tarabalka, P Alliez
65. Deep Depth From Aberration Map
- M Kashiwagi, N Mishima
66. Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery
- C Sebastian, R Imbriaco, E Bondarev
67. A Novel Approach to Data Augmentation for Pavement Distress Segmentation
- D Mazzini, P Napoletano, F Piccoli, R Schettini
68. Augmentation-Based Object Detection for Winter Time Applications
- R Yagfarov, V Ostankovich
69. Automatic lesion boundary detection in dermoscopy
- G Kechyn
70. Visual Anomaly Detection For Automatic Quality Control
- F Piccoli
71. When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer Detection
- E Wetzer, J Gay, H Harlin, J Lindblad
72. Understanding the decisions of CNNs: an in-model approach
- I Rio-Torto, K Fernandes, LÃF Teixeira
73. Automatic phantom test pattern classification through transfer learning with deep neural networks
- RB Fricks, J Solomon, E Samei
74. Monitoring sugar crystallization with deep neural networks
- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu

Machine learning competitions

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 10.4k
OpenMMLab Detection Toolbox and Benchmark
catalyst-team/catalyst 2.0k
Accelerated DL R&D
toandaominh1997/EfficientDet.Pytorch 1.3k
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
azavea/raster-vision 1.1k
An open source framework for deep learning on satellite and aerial imagery.
ternaus/robot-surgery-segmentation 482
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
TAMU-VITA/DeblurGANv2 406
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
ZJULearning/ttfnet 301
No description provided.
saic-vul/adaptis 289
[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Media-Smart/vedaseg 283
A semantic segmentation toolbox based on pytorch
SeuTao/kaggle-competition-solutions 219
Kaggle competition solutions
View all open source projects on GitHub