CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo

Benchmark Model Rank Results
semantic-segmentation-on-toronto-3d-l002CLOUDSPAM#4mIoU: 71.8
semantic-segmentation-on-toronto-3d-l002DA-supervised#5mIoU: 69.3
3d-semantic-segmentation-on-kitti-360DA-supervised#5miou Val: 64.1Model size: 37.9M
3d-semantic-segmentation-on-kitti-360CLOUDSPAM#6miou Val: 63.6Model size: 37.9M
lidar-semantic-segmentation-on-paris-lille-3dCLOUDSPAM#5mIOU: 0.738
lidar-semantic-segmentation-on-paris-lille-3dDA-supervised#7mIOU: 0.638