| Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images | Mar 19, 2024 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 3 |
| Segment Any Anomaly without Training via Hybrid Prompt Regularization | May 18, 2023 | Anomaly DetectionAnomaly Localization | CodeCode Available | 2 |
| AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 | May 23, 2024 | 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 |
| MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning | May 14, 2025 | Anomaly DetectionAnomaly Segmentation | 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 |
| Anomaly Detection via Reverse Distillation from One-Class Embedding | Jan 26, 2022 | Anomaly Classification | CodeCode Available | 2 |
| MedIAnomaly: A comparative study of anomaly detection in medical images | Apr 6, 2024 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 2 |
| SimpleNet: A Simple Network for Image Anomaly Detection and Localization | Mar 27, 2023 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 2 |
