Cheng-Yu Ho

InstAD: Instance-aware Segmentation Framework for Zero-shot Multi-instance Anomaly Detection

Multi-instance anomaly detection and segmentation play a crucial role in automated industrial inspection. Previous works mainly focus on single-instance detection tasks that require well-aligned input and extensive training sets. In this work, we introduce InstAD, a zero-shot multi-instance anomaly…