Zhen-Ling Mo

FAB: Few-Shot Adversarial Learning Formed Decision Boundary for Industrial Anomaly Detection

Few-shot anomaly detection (FSAD) plays a pivotal role in the condition monitoring of industrial equipment. Adapting anomaly detection to few-shot settings is essential for improving the generalization capability of models across diverse industrial scenarios. However, this task remains highly challenging, since discrim...