What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?

Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin. What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023. pages 4345-4354, IEEE, 2023. [doi]

@inproceedings{ZhangZXLYWZJ23,
  title = {What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?},
  author = {Lingrui Zhang and Shuheng Zhang and Guoyang Xie and Jiaqi Liu and Hua Yan and Jinbao Wang and Feng Zheng and Yaochu Jin},
  year = {2023},
  doi = {10.1109/CVPRW59228.2023.00457},
  url = {https://doi.org/10.1109/CVPRW59228.2023.00457},
  researchr = {https://researchr.org/publication/ZhangZXLYWZJ23},
  cites = {0},
  citedby = {0},
  pages = {4345-4354},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0249-3},
}