RangeNet++: Fast and Accurate LiDAR Semantic Segmentation

Benchmark Model Rank Results
robust-3d-semantic-segmentation-on-robo3dRangeNet-53 (64x2048)#18mean Corruption Error (mCE): 130.66%
robust-3d-semantic-segmentation-on-robo3dRangeNet-21 (64x2048)#19mean Corruption Error (mCE): 136.33%
3d-semantic-segmentation-on-semantickittiRangeNet++#30test mIoU: 52.2%