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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:
    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 = {},
    ISSN = {2078-2489},
    DOI = {10.3390/info11020125}

List of papers that cite Albumentations

- NYQ Abderrahim, S Abderrahim
54. Benchmark for generic product detection: a strong baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
- M Potanin, D Dimitrov, A Shonenkov, V Bataev
87. The Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks
- N Andriyanov, V Dementev
- 杨必胜, 宗泽亮, 陈驰, 孙文鹿, 米晓新, 吴唯同
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
- 林成创, 单纯, 赵淦森
140. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- D Lacalle, HA Castro-Abril, T Randelovic
201. 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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