Efficient 3D Semantic Segmentation with Superpoint Transformer

Benchmark Model Rank Results
3d-semantic-segmentation-on-dalesSuperpoint Transformer#3mIoU: 79.6Overall Accuracy: 97.5Model size: 212K
3d-semantic-segmentation-on-kitti-360Superpoint Transformer#7miou Val: 63.5Model size: 777K
3d-semantic-segmentation-on-s3disSuperpoint Transformer#5mIoU (6-Fold): 76.0mAcc: 85.8
semantic-segmentation-on-s3disSuperpoint Transformer#10Mean IoU: 76.0mAcc: 85.8oAcc: 90.4Number of params: 0.212M
semantic-segmentation-on-s3dis-area5Superpoint Transformer#29mIoU: 68.9mAcc: 77.3oAcc: 89.5Number of params: 212K