| 3d-part-segmentation-on-shapenet-part | PointTransformer | #12 | Instance Average IoU: 86.6Class Average IoU: 83.7 |
| 3d-part-segmentation-on-shapenet-part | Point Transformer | #31 | Instance Average IoU: 85.9 |
| 3d-point-cloud-classification-on-modelnet40 | PointTransformer | #45 | Overall Accuracy: 93.7Mean Accuracy: 90.6 |
| 3d-point-cloud-classification-on-modelnet40 | Point Transformer | #77 | Overall Accuracy: 92.8 |
| 3d-semantic-segmentation-on-s3dis | PointTransformer | #4 | mIoU (Area-5): 70.4mIoU (6-Fold): 73.5 |
| 3d-semantic-segmentation-on-stpls3d | Point transformer | #5 | mIOU: 47.64 |
| point-cloud-segmentation-on-pointcloud-c | PointTransformers | #7 | mean Corruption Error (mCE): 1.049 |
| semantic-segmentation-on-s3dis | PointTransformer | #17 | Mean IoU: 73.5mAcc: 81.9oAcc: 90.2Number of params: 7.8M… |
| semantic-segmentation-on-s3dis | KPConv | #24 | Mean IoU: 70.6Number of params: 14.1MParams (M): 14.1 |
| semantic-segmentation-on-s3dis | PointCNN | #36 | Mean IoU: 65.4Number of params: N/A |
| semantic-segmentation-on-s3dis | SPGraph | #41 | Mean IoU: 62.1Number of params: N/A |
| semantic-segmentation-on-s3dis | PointNet | #50 | Mean IoU: 47.6Number of params: N/A |
| semantic-segmentation-on-s3dis-area5 | PointTransformer | #26 | mIoU: 70.4mAcc: 76.5oAcc: 90.8Number of params: 7.8M |
| semantic-segmentation-on-s3dis-area5 | PointCNN | #42 | mIoU: 57.3Number of params: N/A |
| semantic-segmentation-on-s3dis-area5 | PointNet | #44 | mIoU: 41.1Number of params: N/A |