Fine-Grained Anomaly Detection and Localization Using Zero-Shot Vision-Language Models

FiLo, a novel zero-shot anomaly detection and localization method, leverages fine-grained anomaly descriptions and position-enhanced high-quality localization to significantly improve performance compared to existing approaches.