Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection

Zhijin Dong, Hongzhi Liu, Boyuan Ren +2

Anomaly detection is a crucial task in various domains. Most of the existing methods assume the normal sample data clusters around a single central prototype while the real data ma…