Anomaly Segmentation on SMIYC RO 2021 (test)
93.3AuPRCMask2Anomaly
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Mask2AnomalyArchitecture=Mask-Transformer2023.07 | 93.3 | 0.2 | |
| Dense Hybrid2023.07 | 87.08 | 0.24 | |
| Maximized Entropy2023.07 | 85.07 | 0.75 | |
| SynBoost2023.07 | 71.34 | 3.15 | |
| Image Resynthesis2023.07 | 37.71 | 4.7 | |
| JSRNet2023.07 | 28.09 | 28.86 | |
| Mahalanobis2023.07 | 20.9 | 13.08 | |
| Max Softmax2023.07 | 15.72 | 16.6 | |
| Void Classifier2023.07 | 10.44 | 41.54 | |
| PEBEL2023.07 | 4.98 | 12.68 | |
| SML2023.07 | 3.4 | 36.8 | |
| Learning Embedding2023.07 | 0.82 | 46.38 |