| 3d-part-segmentation-on-shapenet-part | PointNeXt | #3 | Instance Average IoU: 87.1Class Average IoU: 85.2 |
| 3d-point-cloud-classification-on-modelnet40 | PointNeXt | #28 | Overall Accuracy: 94.0Mean Accuracy: 91.1Number of params: 4.5M… |
| 3d-point-cloud-classification-on-scanobjectnn | PointNeXt | #35 | Overall Accuracy: 88.2Mean Accuracy: 86.8FLOPs: 1.64G… |
| 3d-semantic-segmentation-on-opentrench3d | PointNeXt-XL | #3 | mIoU: 70.6mAcc: 79.7Model Size: 41.5M |
| 3d-semantic-segmentation-on-s3dis | PointNext | #3 | mIoU (Area-5): 70.5mIoU (6-Fold): 74.9 |
| semantic-segmentation-on-s3dis | PointNeXt-XL | #12 | Mean IoU: 74.9mAcc: 83.0oAcc: 90.3FLOPs: 84.8G… |
| semantic-segmentation-on-s3dis | PointNeXt-L | #16 | Mean IoU: 73.9mAcc: 82.2oAcc: 89.9FLOPs: 15.2G… |
| semantic-segmentation-on-s3dis-area5 | PointNeXt | #24 | mIoU: 71.1mAcc: 77.2oAcc: 91.0Number of params: 41.6M |
| supervised-only-3d-point-cloud-classification | PointNeXt | #6 | Overall Accuracy (PB_T50_RS): 87.8GFLOPs: 3.6… |