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FAVAE anomaly detection

This is an implementation of the paper Anomaly localization by modeling perceptual features

Requirement

  • python == 3.7
  • pytorch == 1.5
  • tqdm
  • sklearn
  • matplotlib

Datasets

MVTec AD datasets : Download from MVTec website

Code example

  • bottle
python train.py --obj bottle --do_aug

Results

Reference

[1] David Dehaene, Pierre Eline. Anomaly localization by modeling perceptual features. https://arxiv.org/pdf/2008.05369.pdf

[2] https://github.com/byungjae89/SPADE-pytorch

[3] https://github.com/plutoyuxie/AutoEncoder-SSIM-for-unsupervised-anomaly-detection-