Yuze Cui

GRASP: Enhancing Zero-Shot Multi-Modal Anomaly Detection via Geometric Refinement and Semantic Prompting

Zero-shot multimodal anomaly detection is critical for identifying structural defects that are often invisible to traditional RGB images, particularly in scenarios lacking target domain samples. However, existing methodologies face two significant impediments: the prohibitive computational overhead