Unlike current methods, our zero-shot texture anomaly detection method requires no external prompts or expert knowledge, and also avoids the uncertainty introduced by text prompts necessary for ...

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 ...