2026
PROMPTMAD: CROSS-MODAL PROMPTING FOR MULTI-CLASS VISUAL ANOMALY LOCALIZATION
ICASSP 2026oral
Visual anomaly detection in multi-class settings poses significant challenges due to the diversity of object categories, the scarcity of anomalous examples, and the presence of camouflaged defects. In this paper, we propose PromptMAD, a cross-modal prompting framework for unsupervised visual anomaly…