Citations¶
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:
@article{2018arXiv180906839B,
author = {A. Buslaev, A. Parinov, E. Khvedchenya, V.~I. Iglovikov and A.~A. Kalinin},
title = "{Albumentations: fast and flexible image augmentations}",
journal = {ArXiv e-prints},
eprint = {1809.06839},
year = 2018
}
List of papers that cite Albumentations¶
1. Camera Model Identification Using Convolutional Neural Networks.¶
October 2018 - A Kuzin, A Fattakhov, I Kibardin.
2. Automatic lesion boundary detection in dermoscopy.¶
December 2018 - G Kechyn.
3. Automatic salt deposits segmentation: A deep learning approach.¶
December 2018 - M Karchevskiy, I Ashrapov, L Kozinkin.
4. Adapting Convolutional Neural Networks for Geographical Domain Shift.¶
January 2019 - P Ostyakov, SI Nikolenko.
5. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics.¶
February 2019 - A Kalinin.
6. Safe Augmentation: Learning Task-Specific Transformations from Data.¶
February 2019 - I Baran, O Kupyn, A Kravchenko.
7. Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy.¶
February 2019 - X Liu, A Sinha, M Ishii, GD Hager, A Reiter.
8. U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument.¶
9. General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation.¶
10. Breast Tumor Cellularity Assessment using Deep Neural Networks.¶
May 2019 - A Rakhlin, AA Shvets, AA Kalinin, A Tiulpin.
11. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors.¶
June 2019 - AY Wagh.
12. Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images.¶
13. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.¶
June 2019 - Á Casado-García, C Domínguez.
14. Urban Sound Tagging using Convolutional Neural Networks.¶
July 2019 - S Adapa.
16. Visual Anomaly Detection For Automatic Quality Control.¶
July 2019 - F Piccoli.
17. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network.¶
August 2019 - N Mishima, T Kozakaya, A Moriya, R Okada.
18. Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio.¶
August 2019 - R Solovyev, I Melekhov, T Lesonen.
19. DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better.¶
August 2019 - O Kupyn, T Martyniuk, J Wu, Z Wang.
20. The Impact of Padding on Image Classification by Using Pre-trained Convolutional Neural Networks.¶
September 2019 - H Tang, A Ortis, S Battiato.
21. A load frame for in situ tomography at PETRA III.¶
September 2019 - J Moosmann, DCF Wieland.
22. Deep convolutions for in-depth automated rock typing.¶
September 2019 - EE Baraboshkin, LS Ismailova, DM Orlov.
23. 残差密集相对平均 CGAN 的图像配准方法.¶
September 2019 - 王丽芳， 张程程， 秦品乐， 蔺素珍， 高媛， 窦杰亮.