OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Benchmark Model Rank Results
3d-instance-segmentation-on-s3disOneFormer3D#1AP@50: 75.8mAP: 63.0mPrec: 82.3mRec: 74.1
3d-instance-segmentation-on-scannetv2OneFromer3D#3mAP @ 50: 80.1mAP@25: 89.6mAP: 56.6
3d-object-detection-on-scannetv2OneFormer3D#4mAP@0.5: 65.3mAP@0.25: 76.9
3d-semantic-segmentation-on-s3disOneFormer3D#1mIoU (Area-5): 72.4mIoU (6-Fold): 75.0
3d-semantic-segmentation-on-scannet200OneFormer3D#12val mIoU: 30.1
panoptic-segmentation-on-scannetOneFormer3D#1PQ: 71.2PQ_th: 69.6PQ_st: 86.1
panoptic-segmentation-on-scannetv2OneFormer3D#1PQ: 71.2
semantic-segmentation-on-scannetOneFormer3D#9val mIoU: 76.6