Anomaly Segmentation on SMIYC Road Obstacle 2021
61.4sIoUMask2Anomaly
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Mask2Anomaly2023.07 | 61.4 | 70.3 | 69.8 | |
| Maximized Entropy2023.07 | 47.87 | 62.64 | 48.51 | |
| Dense Hybrid2023.07 | 45.74 | 50.1 | 50.72 | |
| SynBoost2023.07 | 44.28 | 41.75 | 37.57 | |
| Learning Embedding2023.07 | 35.64 | 2.87 | 2.31 | |
| PEBEL2023.07 | 29.91 | 7.55 | 5.54 | |
| Max Softmax2023.07 | 19.72 | 15.93 | 6.25 | |
| JSRNet2023.07 | 18.55 | 24.46 | 11.02 | |
| Image Resynthesis2023.07 | 16.61 | 20.48 | 8.38 | |
| Mahalanobis2023.07 | 13.52 | 21.79 | 4.7 | |
| Ensemble2023.07 | 8.63 | 4.71 | 1.28 | |
| Void Classifier2023.07 | 6.34 | 20.27 | 5.41 | |
| MC Dropout2023.07 | 5.49 | 5.77 | 1.05 | |
| SML2023.07 | 5.1 | 13.3 | 3 | |
| Mask2Former2023.07 | 5 | 21.9 | 4.8 |