UniADC: A Unified Framework for Anomaly Detection and Classification 事件

UniADC: A Unified Framework for Anomaly Detection and Classification arXiv:2511.06644v3 Announce Type: replace Abstract: In this paper, we introduce a novel task termed unified anomaly detection and classification, which aims to simultaneously detect anomalous regions in images and identify their specific categories. Existing methods typically treat anomaly detection and classification as separate tasks, thereby neglecting their inherent correlations and limiting information sharing, which resu