Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection

Jiawen Zhu, Yew-Soon Ong, Chunhua Shen +1

Current zero-shot anomaly detection (ZSAD) methods show remarkable success in prompting large pre-trained vision-language models to detect anomalies in a target dataset without usi…