AdaNMD: Nested Diffusion with Adaptive Resolution Decision for Efficient Industrial Anomaly Localization
Accurate anomalous localization is a core challenge in industrial visual quality inspection. Current diffusion-based methods typically rely on single-scale reconstruction at a fixed resolution, often exhibiting limited performance on subtle or low-contrast anomalies due to the lack of hierarchical feature collaboration...