Anomaly Segmentation on SMIYC RA 2021 (test)
88.7AuPRCMask2Anomaly
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Mask2AnomalyArchitecture=Mask-Transformer2023.07 | 88.7 | 14.6 | |
| Maximized Entropy2023.07 | 85.47 | 15 | |
| Dense Hybrid2023.07 | 77.96 | 9.81 | |
| SynBoost2023.07 | 56.44 | 61.86 | |
| Image Resynthesis2023.07 | 52.28 | 25.93 | |
| PEBEL2023.07 | 49.14 | 40.82 | |
| SML2023.07 | 46.8 | 39.5 | |
| Learning Embedding2023.07 | 37.52 | 70.76 | |
| Void Classifier2023.07 | 36.61 | 63.49 | |
| JSRNet2023.07 | 33.64 | 43.85 | |
| Max Softmax2023.07 | 27.97 | 72.02 | |
| Mahalanobis2023.07 | 20.04 | 86.99 |