2024
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
ECCV 2024poster
"Anomaly detection is a practical and challenging task due to the scarcity of anomaly samples in industrial inspection. Some existing anomaly detection methods address this issue by synthesizing anomalies with noise or external data. However, there is always a large semantic gap between synthetic an…