| Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images | Mar 19, 2024 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 3 |
| MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning | May 14, 2025 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 2 |
| Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt | May 14, 2025 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 2 |
| VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation | Jul 17, 2024 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 2 |
| AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 | May 23, 2024 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 2 |
| MedIAnomaly: A comparative study of anomaly detection in medical images | Apr 6, 2024 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 2 |
| Open-World Semantic Segmentation Including Class Similarity | Mar 12, 2024 | Anomaly SegmentationAutonomous Vehicles | CodeCode Available | 2 |
| ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation | Jan 23, 2024 | Anomaly LocalizationAnomaly Segmentation | CodeCode Available | 2 |
| Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt | Jan 2, 2024 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 2 |
| 2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection | Jun 15, 2023 | Anomaly DetectionAnomaly Localization | CodeCode Available | 2 |
