Piñata Farms
Sharper Shape
AriSaf Tech

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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
78. Benchmark for generic product detection: a strong baseline for dense object detection
- J Marti Asenjo, A Martinez-Larraz Solís
- 王丽芳, 张程程, 秦品乐, 蔺素珍, 高媛, 窦杰亮
- S Turko, L Burmak, I Malyshev, S Shtykov, M Popov
- J Arroyave Lopez, RA Echavarria Echeverri
- S Zhang, Y Zou, T Wang, Y Xiong
- D Diaz Valencia, S Jaramillo Gonzales
- JM Esteban, J van de Loosdrecht, M Aghaei
- 晏旭, 马帅, 曾凤娇, 郭正华, 伍俊龙, 杨平, 许冰
- 杨必胜, 宗泽亮, 陈驰, 孙文鹿, 米晓新, 吴唯同
- X Yibin
- S Sakib, MTA Abid, NS Tiana, WA Asha, SM Huq
- Y Pu, Z Feng, Z Wang, Z Yang
327. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e …
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
- 林成创, 单纯, 赵淦森
358. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- D Qi, K Hu, W Tan, Q Yao, J Liu
387. Comparison of the MultiRes U-Net and the classical U-Net on the performance of kidney and kidney tumor segmentation
- L Mak
- L Kalinathan, PG Prabavathy Balasundaram
- M Genaev, E Skolotneva, E Gultyaeva, E Orlova
- СВ Ульянов, АВ Филипьев, КВ Кошелев
- S Nasrin, J Alavi, P Viswanathan
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova

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