Semantic Segmentation on Semantic3D full (test)
92.9Overall AccuracySPG
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SPG2017.11 | 92.9 | 76.2 | 91.5 | 75.6 | 78.3 | 71.7 | 94.4 | 56.8 | 52.9 | 88.4 | — | |
| SnapNet2017.11 | 91 | 67.4 | 89.6 | 79.5 | 74.8 | 56.1 | 90.9 | 36.5 | 34.3 | 77.2 | — | |
| Tangent ConvolutionsInput signals=Depth (D) + Height (H) + Normals (N) + Color (RGB)2018.07 | 89.3 | 66.4 | — | — | — | — | — | — | — | — | 80.7 | |
| TMLC-MS2017.11 | 85 | 49.4 | 91.1 | 69.5 | 32.8 | 21.6 | 87.6 | 25.9 | 11.3 | 55.3 | — | |
| Tangent ConvolutionsInput signals=Depth (D)2018.07 | 84.8 | 58.1 | — | — | — | — | — | — | — | — | 78.9 | |
| Tangent ConvolutionsInput signals=Depth (D) + Height (H)2018.07 | 83.3 | 58 | — | — | — | — | — | — | — | — | 75.8 | |
| OctNet2018.07 | 80.7 | 50.7 | — | — | — | — | — | — | — | — | 71.3 | |
| Tangent ConvolutionsInput signals=Depth (D) + Height (H) + Normals (N)2018.07 | 79.5 | 52.5 | — | — | — | — | — | — | — | — | 79.3 | |
| PointNet2018.07 | 16.3 | 3.76 | — | — | — | — | — | — | — | — | 16.9 |