AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIPComputer Vision and Pattern Recognition (CVPR), 2025 |
 One-to-Normal: Anomaly Personalization for Few-shot Anomaly DetectionNeural Information Processing Systems (NeurIPS), 2025 |
 Towards Accurate Unified Anomaly SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 |
 ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain
ShiftIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 |
 VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via
Hierarchical Vector QuantizationIEEE transactions on multimedia (IEEE TMM), 2024 |
 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2024 |
 DMAD: Dual Memory Bank for Real-World Anomaly Detection Jianlong Hu Xu Chen Zhenye Gan Jinlong Peng Shengchuan Zhang Jiangning Zhang Yabiao Wang Chengjie Wang Liujuan Cao Rongrong Ji |
