| 3d-semantic-segmentation-on-scribblekitti | Cylinder3D | #2 | mIoU: 57.0 |
| 3d-semantic-segmentation-on-semantickitti | Cylinder3D | #10 | test mIoU: 68.9%val mIoU: 64.3% |
| lidar-semantic-segmentation-on-nuscenes | Cylinder3D+InstanceAug | #11 | test mIoU: 0.77 |
| lidar-semantic-segmentation-on-s-mid | Cylinder3D | #2 | val mIoU: 68.8% |
| robust-3d-semantic-segmentation-on-nuscenes-c | Cylinder3D (torchsparse) | #6 | mean Corruption Error (mCE): 105.56% |
| robust-3d-semantic-segmentation-on-nuscenes-c | Cylinder3D (spconv) | #9 | mean Corruption Error (mCE): 111.84% |
| robust-3d-semantic-segmentation-on-robo3d | Cylinder3D (torchsparse) | #7 | mean Corruption Error (mCE): 103.13% |
| robust-3d-semantic-segmentation-on-robo3d | Cylinder3D (spconv) | #8 | mean Corruption Error (mCE): 103.25% |
| robust-3d-semantic-segmentation-on-wod-c | Cylinder3D (torchsparse) | #5 | mean Corruption Error (mCE): 106.02% |
| semi-supervised-semantic-segmentation-on-23 | Sup.-only (Voxel) | #3 | mIoU (1% Labels): 39.2mIoU (10% Labels): 48.0mIoU (20% Labels): 52.1… |
| semi-supervised-semantic-segmentation-on-25 | Sup.-only (Voxel) | #5 | mIoU (1% Labels): 50.9mIoU (10% Labels): 65.9mIoU (20% Labels): 66.6… |