3D Semantic Segmentation On Sensaturban
Metrics
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | mIoU |
|---|---|
| tangent-convolutions-for-dense-prediction-in | 33.30 |
| large-scale-point-cloud-semantic-segmentation | 37.29 |
| lcpformer-towards-effective-3d-point-cloud | 63.4 |
| kpconv-flexible-and-deformable-convolution | 57.58 |
| 3d-semantic-segmentation-with-submanifold | 42.66 |
| mrnet-multiple-input-receptive-field-network | 62.30 |
| scf-net-learning-spatial-contextual-features | 55.1 |
| efficient-urban-scale-point-clouds | 61.7 |