Abstract: Anomaly detection is a crucial aspect in ensuring the reliability of industrial products in smart manufacturing. Despite employing unsupervised anomaly detection methods to mitigate the ...

CRAS aims to address inter-class interference and intra-class overlap in multi-class anomaly detection through center-aware residual learning and distance-guided anomaly synthesis. This repository ...