| point-cloud-segmentation-on-pointcloud-c | DGCNN | #6 | mean Corruption Error (mCE): 1.000 |
| 3d-point-cloud-classification-on-modelnet40-c | DGCNN | #8 | Error Rate: 0.259 |
| supervised-only-3d-point-cloud-classification-on-scanobjectnn | DGCNN | #10 | Overall Accuracy (PB_T50_RS): 78.1GFLOPs: 2.4… |
| 3d-point-cloud-classification-on-intra | DGCNN | #11 | F1 score (5-fold): 0.738 |
| point-cloud-classification-on-pointcloud-c | DGCNN | #17 | mean Corruption Error (mCE): 1.000 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shot | DGCNN | #37 | Overall Accuracy: 31.6Standard Deviation: 9.0 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shot | DGCNN | #37 | Overall Accuracy: 40.8Standard Deviation: 14.6 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shot | DGCNN | #38 | Overall Accuracy: 16.9Standard Deviation: 1.5 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shot | DGCNN | #39 | Overall Accuracy: 19.85Standard Deviation: 6.5 |
| 3d-part-segmentation-on-shapenet-part | DGCNN | #50 | Instance Average IoU: 85.2 |
| 3d-point-cloud-classification-on-scanobjectnn | DGCNN | #71 | Overall Accuracy: 78.1Mean Accuracy: 73.6OBJ-BG (OA): 82.8… |
| 3d-point-cloud-classification-on-modelnet40 | DGCNN | #75 | Overall Accuracy: 92.9Mean Accuracy: 90.2Number of params: 1.81M |