2D Semantic Segmentation on NYU2 11-class task
71.2Mean Accuracy3DMV
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3DMV2018.03 | 71.2 | 84.3 | 44 | 43.4 | 77.4 | 92.5 | 76.8 | 54.6 | 70.5 | 86.3 | 58.6 | 67.3 | 84.5 | 85.3 | |
| Semantic Fusionvariant=Eigen+CRF2018.03 | 63.6 | 48.3 | 51.5 | 79 | 74.7 | 90.8 | 63.5 | 46.9 | 63.6 | 46.5 | 45.9 | 71.5 | 89.4 | 55.6 | |
| ScanNet2018.03 | 60.7 | 81.4 | — | 46.2 | 67.6 | 99 | 65.6 | 34.6 | — | 67.2 | 50.9 | 35.8 | 55.8 | 63.1 | |
| ScanNet2022.05 | 60.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Semantic Fusionvariant=RGBD+CRF2018.03 | 59.2 | 62 | 58.4 | 43.3 | 59.5 | 92.7 | 64.4 | 58.3 | 65.8 | 48.7 | 34.3 | 34.3 | 86.3 | 62.3 | |
| Hermans et al.2018.03 | 54.3 | 68.4 | 45.4 | 83.4 | 41.9 | 91.5 | 37.1 | 8.6 | 35.8 | 58.5 | 27.7 | 38.4 | 71.8 | 48 | |
| SceneNet2018.03 | 52.5 | 70.8 | 5.5 | 76.2 | 59.6 | 95.9 | 62.3 | 50 | 18 | 61.3 | 42.2 | 22.2 | 86.1 | 32.1 |