Region-Prompt-Guided Anomaly Detection With Entropy-Based Consistency Modeling
Visual industrial anomaly detection has evolved from one-class modeling to more challenging multi-class settings, where diverse categories and complex visual patterns must be jointly handled. Existing approaches often assume that anomalies lie far from normal samples in feature or spatial space. However, this assumptio...