Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection

Zihan Wang, Samira Ebrahimi Kahou, Narges Armanfard

Zero-shot anomaly detection (ZSAD) enables identifying and localizing defects in unseen categories by relying solely on generalizable features rather than requiring any labeled exa…