PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen. PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 2806-2814, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{ReissCBH21,
  title = {PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation},
  author = {Tal Reiss and Niv Cohen and Liron Bergman and Yedid Hoshen},
  year = {2021},
  url = {https://openaccess.thecvf.com/content/CVPR2021/html/Reiss_PANDA_Adapting_Pretrained_Features_for_Anomaly_Detection_and_Segmentation_CVPR_2021_paper.html},
  researchr = {https://researchr.org/publication/ReissCBH21},
  cites = {0},
  citedby = {0},
  pages = {2806-2814},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
}