HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection
arXiv:2602.09524v3 Announce Type: replace
Abstract: Unsupervised industrial anomaly detection (UAD) is essential for modern manufacturing inspection, where defect samples are scarce and reliable detection is required. In this paper, we propose HLGFA, …