ABounD: Adversarial Boundary-Driven Few-Shot Learning for Multi-Class Anomaly Detection

Runzhi Deng, Yundi Hu, Xinshuang Zhang +5

Few-shot multi-class industrial anomaly detection identifies diverse defects across multiple categories using a single unified model and limited normal samples. Although vision-lan…