Yong-Ze Ma

HR-Pro: Hierarchical Residual Prototype Memory for Efficient Industrial Anomaly Detection

Industrial anomaly detection is a critical task in intelligent manufacturing systems. Existing memory-based methods generally require storing a large number of patch-level normal features, resulting in high storage demands and reduced inference efficiency in large-scale settings. To address this issue, this article pro...