| Paper | Code | OA | mIoU | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation | ✓ Link | 95.50 | 73.60 | SCF-Net | 2021-06-19 |
| RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds | ✓ Link | 93.50 | 68.40 | RandLANet | 2019-11-25 |
| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | ✓ Link | 91.71 | 60.30 | KPFCNN | 2020-03-18 |
| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | ✓ Link | 91.64 | 58.34 | TGNet | 2020-03-18 |
| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | ✓ Link | 91.53 | 58.01 | MS-PCNN | 2020-03-18 |
| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | ✓ Link | 91.21 | 56.55 | PointNet++ | 2020-03-18 |
| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | ✓ Link | 89.00 | 49.60 | DGCNN | 2020-03-18 |