Chunhui Qu

Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection

Multi-class unsupervised anomaly detection aims to create a unified model for identifying anomalies in objects from multiple classes when only normal data is available. In such a challenging setting, widely used reconstruction-based networks persistently grapple with the "identical shortcut" problem…