An unofficial reproduced implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676
- python3
- pytorch-1.0 or higher version
- mmcv
- torchvision
- tqdm
- run python main.py config/config_mnist to train and test on mnist dataset
- run python main.py config/config_cifar to train and test on cifar dataset
This implementation refers to https://github.com/samet-akcay/ganomaly and https://github.com/milesial/Pytorch-UNet.
To get the score in paper, please refer to these suggestions from chaoqinhuang .