AI RESEARCH
Memory-Distilled Selection for Noise-Robust Anomaly Detection
arXiv CS.CV
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ArXi:2605.26676v1 Announce Type: new Anomaly detection (AD) under data contamination is critical for deploying unsupervised defect detection in industrial environments, where curating perfectly clean