Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs

Benchmark Model Rank Results
3d-part-segmentation-on-shapenet-partHPENet V2-S(c=160)#3Instance Average IoU: 87.2Class Average IoU: 85.4
3d-part-segmentation-on-shapenet-partHPENet V2-S(c=64)#13Instance Average IoU: 86.8Class Average IoU: 84.8
semantic-segmentation-on-s3disHPENet V2-XL#5Mean IoU: 78.9mAcc: 86.3oAcc: 91.9
semantic-segmentation-on-s3disHPENet V2-L#10Mean IoU: 77.5mAcc: 85.3oAcc: 91.6
semantic-segmentation-on-s3disHPENet V2-B#13Mean IoU: 76.0mAcc: 84.3oAcc: 91.0
semantic-segmentation-on-s3disHPENet V2-S#29Mean IoU: 70.5mAcc: 79.6oAcc: 88.7
semantic-segmentation-on-s3dis-area5HPENet V2-L#27mIoU: 71.0mAcc: 77.0oAcc: 91.2
semantic-segmentation-on-s3dis-area5HPENet V2-B#31mIoU: 69.7mAcc: 76.0oAcc: 90.4
semantic-segmentation-on-s3dis-area5HPENet V2-S#41mIoU: 65.2mAcc: 71.8oAcc: 89.1
semantic-segmentation-on-scannetHPENet V2-XL#25val mIoU: 73.3
semantic-segmentation-on-scannetHPENet V2-L#27val mIoU: 71.4
semantic-segmentation-on-scannetHPENet V2-B#28val mIoU: 70.6
semantic-segmentation-on-scannetHPENet V2-S#32val mIoU: 66.3