Seunghyun Oh

TIRAD: Text-guided Image Residual Learning for Generalist Anomaly Detection

Recent anomaly detection studies have shown that residual features, which model the discrepancy between normal and abnormal patterns, provide strong generalization to anomalies unseen during training. However, existing residual-based approaches mainly rely on visual discrepancies derived from image representations, whi...