Wenyang Liu

DriftAD: Visually-Guided Text Drift for Few-Shot Industrial Anomaly Detection

Few-shot anomaly detection (FSAD) has recently benefited from vision-language models such as CLIP, which enable anomaly de?tection by aligning visual features with text descriptions of normal and abnormal states. However, existing methods typically rely on static text prompts that are applied uniformly across the entir...