Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Guang Yu, Siqi Wang, Zhiping Cai +3

While classic video anomaly detection (VAD) requires labeled normal videos for training, emerging unsupervised VAD (UVAD) aims to discover anomalies directly from fully unlabeled v…