Zhi-Ying Liao

TPCR-AD: Test-Patch Clustering Refinement with Normal-Feature PCA Reconstruction for Few-Shot Industrial Anomaly Detection

Few-shot industrial anomaly detection typically relies on a small number of normal samples to establish a normalfeature representation. Although recent methods built upon strong pretrained features such as DINOv2 have improved detection performance, they still tend to produce scattered noise and discontinuous anomaly r...