ITAE-Pytorch-Anomaly_Detection

An unofficial reproduced implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676

requirements

python3
pytorch-1.0 or higher version
mmcv
torchvision
tqdm

how to use

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

others

This implementation refers to https://github.com/samet-akcay/ganomaly and https://github.com/milesial/Pytorch-UNet.

note

To get the score in paper, please refer to these suggestions from chaoqinhuang .