Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
arXiv:2605.02438v1 Announce Type: cross
Abstract: Open-set supervised anomaly detection (OSAD) aims to identify unseen anomalies using limited anomalous supervision. However, existing prototype-based methods typically model normal data via a unimodal …