HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection

Han Zhou, Yuxuan Gao, Yinchao Du +1

Unsupervised industrial anomaly detection (UAD) is essential for modern manufacturing inspection, where defect samples are scarce and reliable detection is required. In this paper,…