Hong Liu

Center-Aware Pairwise Learning for Deep Semi-Supervised Anomaly Detection

Anomaly detection (AD) assists in identifying irregularities within data. Existing works have primarily focused on improving detection for seen anomalies. However, most AD methods struggle to effectively detect unseen anomalies, which are novel types absent in training data and deviate from learned patterns. In this pa...