Memory-Distilled Selection for Noise-Robust Anomaly Detection

Sirojbek Safarov, Jaewoo Park, Yoon Gyo Jung +4

Anomaly detection (AD) under data contamination is critical for deploying unsupervised defect detection in industrial environments, where curating perfectly clean training sets is…