| 3d-semantic-segmentation-on-kitti-360 | PointNet | #4 | miou: 13.07mIoU Category: 30.42Model size: N/A |
| 3d-part-segmentation-on-intra | PointNet | #7 | IoU (V): 75.23IoU (A): 37.75DSC (V): 85.00DSC (A): 49.59 |
| 3d-point-cloud-classification-on-modelnet40-c | PointNet | #11 | Error Rate: 0.283 |
| point-cloud-segmentation-on-pointcloud-c | PointNet | #11 | mean Corruption Error (mCE): 1.178 |
| 3d-point-cloud-classification-on-intra | PointNet | #12 | F1 score (5-fold): 0.684 |
| supervised-only-3d-point-cloud-classification-on-scanobjectnn | PointNet | #13 | Overall Accuracy (PB_T50_RS): 68.0GFLOPs: 0.5… |
| point-cloud-classification-on-pointcloud-c | PointNet | #24 | mean Corruption Error (mCE): 1.422 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shot | PointNet | #35 | Overall Accuracy: 51.97Standard Deviation: 12.1 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shot | PointNet | #35 | Overall Accuracy: 57.81Standard Deviation: 15.5 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shot | PointNet | #36 | Overall Accuracy: 46.60Standard Deviation: 13.5 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shot | PointNet | #36 | Overall Accuracy: 35.20Standard Deviation: 13.5 |
| 3d-semantic-segmentation-on-semantickitti | PointNet | #39 | test mIoU: 14.6% |
| semantic-segmentation-on-s3dis-area5 | PointNet | #56 | mAcc: 49.0Number of params: N/A |
| semantic-segmentation-on-s3dis | PointNet | #57 | mAcc: 66.2Number of params: N/A |
| 3d-part-segmentation-on-shapenet-part | PointNet | #59 | Instance Average IoU: 83.7 |
| 3d-point-cloud-classification-on-scanobjectnn | PointNet | #74 | Overall Accuracy: 68.2Mean Accuracy: 63.4 |
| 3d-point-cloud-classification-on-modelnet40 | PointNet | #102 | Overall Accuracy: 89.2Mean Accuracy: 86.0Number of params: 3.47M |