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| Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection | Mar 15, 2023 | Anomaly DetectionAnomaly Segmentation | —Unverified | 0 | 0 |
| VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection | Sep 25, 2024 | Anomaly DetectionAnomaly Segmentation | —Unverified | 0 | 0 |
| SCNet: A Generalized Attention-based Model for Crack Fault Segmentation | Dec 2, 2021 | Anomaly DetectionAnomaly Segmentation | —Unverified | 0 | 0 |
| Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images | Feb 12, 2025 | Anomaly SegmentationSegmentation | —Unverified | 0 | 0 |
| Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment | Aug 16, 2023 | Anomaly SegmentationAutonomous Driving | —Unverified | 0 | 0 |
| Improving and Assessing Anomaly Detectors for Large-Scale Settings | Sep 29, 2021 | Anomaly SegmentationOut-of-Distribution Detection | —Unverified | 0 | 0 |
| A Dataset for Semantic Segmentation in the Presence of Unknowns | Mar 28, 2025 | Anomaly DetectionAnomaly Segmentation | —Unverified | 0 | 0 |
| Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme | Jun 26, 2024 | Anomaly DetectionAnomaly Segmentation | —Unverified | 0 | 0 |
| FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation | Nov 29, 2024 | Anomaly SegmentationAutonomous Driving | —Unverified | 0 | 0 |
