| Segment Any Anomaly without Training via Hybrid Prompt Regularization | May 18, 2023 | Anomaly DetectionAnomaly Localization | CodeCode Available | 2 |
| SimpleNet: A Simple Network for Image Anomaly Detection and Localization | Mar 27, 2023 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 2 |
| SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation | Jul 28, 2022 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 2 |
| Anomaly Detection via Reverse Distillation from One-Class Embedding | Jan 26, 2022 | Anomaly Classification | CodeCode Available | 2 |
| Towards Total Recall in Industrial Anomaly Detection | Jun 15, 2021 | 3D Anomaly DetectionAnomaly Classification | CodeCode Available | 2 |
| Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models | May 5, 2025 | Anomaly SegmentationSegmentation | CodeCode Available | 1 |
| Towards Accurate Unified Anomaly Segmentation | Jan 21, 2025 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 1 |
| FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model | Aug 31, 2024 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 1 |
| Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond | Jul 22, 2024 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 1 |
| OoDIS: Anomaly Instance Segmentation Benchmark | Jun 17, 2024 | Anomaly Instance SegmentationAnomaly Segmentation | CodeCode Available | 1 |
