Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

Benchmark Model Rank Results
3d-point-cloud-classification-on-modelnet40PTv2#18Overall Accuracy: 94.2Mean Accuracy: 91.6
3d-semantic-segmentation-on-nuscenesPTv2#1mIoU: 82.6%
3d-semantic-segmentation-on-s3disPointTransformerV2#2mIoU (Area-5): 71.6
3d-semantic-segmentation-on-scannet-1PTv2#8Top-1 IoU: 0.445Top-3 IoU: 0.688
3d-semantic-segmentation-on-semantickittiPTv2#8test mIoU: 72.6%val mIoU: 70.3%
lidar-semantic-segmentation-on-nuscenesPTv2#3test mIoU: 0.826val mIoU: 0.802
semantic-segmentation-on-s3dis-area5PTv2#14mIoU: 72.6mAcc: 78.0oAcc: 91.6Number of params: N/A
semantic-segmentation-on-scannetPTv2#18val mIoU: 75.4test mIoU: 75.2