Tian-Jiao Ma

DPRF-CLIP:Dual-Path Residual Fusion for Zero-Shot Industrial Anomaly Detection

Zero-Shot Anomaly Detection (ZSAD) aims to accurately identify anomalous samples from unseen categories without relying on target class training data. In industrial quality inspection scenarios, collecting training samples for target defect categories is often impractical due to production constraints and data scarcity...