📊 Showing 6 results | 📏 Metric: OA
| Rank | Model | Paper | OA | Date | Code |
|---|---|---|---|---|---|
| 1 | RandLANet | RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds | 68.40 | 2019-11-25 | 📦 intel-isl/Open3D-ML 📦 QingyongHu/RandLA-Net 📦 aRI0U/RandLA-Net-pytorch |
| 2 | KPFCNN | Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | 60.30 | 2020-03-18 | 📦 WeikaiTan/Toronto-3D |
| 3 | TGNet | Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | 58.34 | 2020-03-18 | 📦 WeikaiTan/Toronto-3D |
| 4 | MS-PCNN | Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | 58.01 | 2020-03-18 | 📦 WeikaiTan/Toronto-3D |
| 5 | PointNet++ | Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | 56.55 | 2020-03-18 | 📦 WeikaiTan/Toronto-3D |
| 6 | DGCNN | Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | 49.60 | 2020-03-18 | 📦 WeikaiTan/Toronto-3D |