Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation

Benchmark Model Rank Results
3d-semantic-segmentation-on-semantickittiWaffleIron#9test mIoU: 70.8%val mIoU: 68.0%
lidar-semantic-segmentation-on-nuscenesWaffleIron#17val mIoU: 0.791
robust-3d-semantic-segmentation-on-nuscenes-cWaffleIron#8mean Corruption Error (mCE): 106.73%
robust-3d-semantic-segmentation-on-robo3dWaffleIron#14mean Corruption Error (mCE): 109.54%