Citation

beacon-aug

@misc{beacon-aug2021,
  author = {Li, Xiaoyang Rebecca
            and Hold-Geoffroy, Yannick
            and Oxholm Geoffrey
            and Singh, Krishna Kumar
            and Zhang, Zhifei Zhang
            and Zhang, Richard
            and Andriushchenko, Maksym
            and others},
  title = {Beacon-aug: A cross-library image augmentation toolbox.},
  howpublished = {\url{https://github.com/adobe-research/beacon-aug}},
  year = {2021},
  note = {Online; accessed Sep-22-2021}
}

Related Citations

Beacon_aug was heavily inspired by the following great projects, welcome to cite their work as well:

• Joanna Bitton and Zoe Papakipos. Augly: a data augmentations library for audio, image, text, and video. https://github.com/facebookresearch/AugLy, 2021. doi:10.5281/zenodo.5014032.

• Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A. Kalinin. Albumentations: fast and flexible image augmentations. Information, 2020. URL: https://www.mdpi.com/2078-2489/11/2/125, doi:10.3390/info11020125.

• Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, and Richard Zhang. Ensembling with deep generative views. In CVPR. 2021.

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• Xiaoyang Rebecca Li, Yannick Hold-Geoffroy, Oxholm Geoffrey, Krishna Kumar Singh, Zhifei Zhang Zhang, Richard Zhang, Maksym Andriushchenko, and others. Beacon-aug: a cross-library image augmentation toolbox. https://github.com/adobe-research/beacon-aug, 2021. Online; accessed Sep-22-2021.

• Sébastien Marcel and Yann Rodriguez. Torchvision the machine-vision package of torch. In Proceedings of the 18th ACM international conference on Multimedia, 1485–1488. 2010.

• Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu. On buggy resizing libraries and surprising subtleties in fid calculation. arXiv preprint arXiv:2104.11222, 2021.

• Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, and Gary Bradski. Kornia: an open source differentiable computer vision library for pytorch. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 3674–3683. 2020.

• Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, and Yong Jae Lee. Hide-and-seek: a data augmentation technique for weakly-supervised localization and beyond. arXiv preprint arXiv:1811.02545, 2018.