Anomaly Segmentation on SMIYC Road Anomaly 2021
60.4sIoUMask2Anomaly
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Mask2Anomaly2023.07 | 60.4 | 45.7 | 48.6 | |
| Dense Hybrid2023.07 | 54.17 | 24.13 | 31.08 | |
| Maximized Entropy2023.07 | 49.21 | 39.51 | 28.72 | |
| Image Resynthesis2023.07 | 39.68 | 10.95 | 12.51 | |
| PEBEL2023.07 | 38.88 | 27.2 | 14.48 | |
| SynBoost2023.07 | 34.68 | 17.81 | 9.99 | |
| Learning Embedding2023.07 | 33.86 | 20.54 | 7.9 | |
| SML2023.07 | 26 | 24.7 | 12.2 | |
| Mask2Former2023.07 | 25.2 | 18.2 | 15.3 | |
| Void Classifier2023.07 | 21.14 | 22.13 | 6.49 | |
| MC Dropout2023.07 | 20.49 | 17.26 | 4.26 | |
| JSRNet2023.07 | 20.2 | 29.27 | 13.66 | |
| Ensemble2023.07 | 16.44 | 20.77 | 3.39 | |
| Max Softmax2023.07 | 15.48 | 15.29 | 5.37 | |
| Mahalanobis2023.07 | 14.82 | 10.22 | 2.68 |