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-