Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Benchmark Model Rank Results
3d-semantic-segmentation-on-toronto-3dKPFCNN#3OA: 91.71mIoU: 60.30
3d-semantic-segmentation-on-toronto-3dTGNet#4OA: 91.64mIoU: 58.34
3d-semantic-segmentation-on-toronto-3dMS-PCNN#5OA: 91.53mIoU: 58.01
3d-semantic-segmentation-on-toronto-3dPointNet++#6OA: 91.21mIoU: 56.55
3d-semantic-segmentation-on-toronto-3dDGCNN#7OA: 89.00mIoU: 49.60