AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization (IEEE TASE 2024)
PyTorch implementation and for TASE2024 paper, AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization.
Please download MVTecAD dataset from MVTecAD dataset and BTAD dataset from BTAD dataset.
If you find this repository useful, please consider citing our work:
@article{luo2024ami,
title={AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization},
author={Luo, Wei and Yao, Haiming and Yu, Wenyong and Li, Zhengyong},
journal={IEEE Transactions on Automation Science and Engineering},
year={2024},
publisher={IEEE}
}