SetAD: Semi-Supervised Anomaly Learning in Contextual Sets

Jianling Gao, Chongyang Tao, Xuelian Lin +2

Semi-supervised anomaly detection (AD) has shown great promise by effectively leveraging limited labeled data. However, existing methods are typically structured around scoring ind…