Point Cloud Classification on ModelNet40 Split2 plus Split1 v1
97.9Accuracy (Sample)USS+MSP
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| USS+MSPBackbone=AdaptConv2022.12 | 97.9 | 96.4 | 33.1 | 14.4 | 91.8 | |
| PointCaMBackbone=AdaptConv, Configuration=USS+USE2022.12 | 97.9 | 96.6 | 33.6 | 14.2 | 91.9 | |
| MSPBackbone=PointNet++2022.12 | 97.8 | 96.3 | 33.5 | 14.8 | 85.9 | |
| MLSBackbone=PointNet++2022.12 | 97.8 | 96.3 | 35.4 | 14.5 | 86.2 | |
| MSPBackbone=AdaptConv2022.12 | 97.8 | 96.3 | 33 | 14.6 | 90.6 | |
| MLSBackbone=AdaptConv2022.12 | 97.8 | 96.3 | 34.7 | 13.5 | 89.6 | |
| USS+MSPBackbone=PointNet++2022.12 | 97.7 | 96.2 | 36.4 | 15.2 | 85.9 | |
| PointCaMBackbone=PointNet++, Configuration=USS+USE2022.12 | 97.7 | 96.3 | 35.4 | 15.6 | 86.4 | |
| PointCaMBackbone=DGCNN, Configuration=USS+USE2022.12 | 97.7 | 96.3 | 35.1 | 13.7 | 92.5 | |
| MSPBackbone=DGCNN2022.12 | 97.5 | 95.9 | 35.9 | 13.9 | 91.7 | |
| MLSBackbone=DGCNN2022.12 | 97.5 | 95.9 | 34.6 | 13 | 91.7 | |
| USS+MSPBackbone=DGCNN2022.12 | 97.4 | 96 | 35.1 | 13.6 | 91.9 | |
| MSPBackbone=PointNet2022.12 | 96.1 | 94.3 | 49.9 | 17.6 | 89 | |
| MLSBackbone=PointNet2022.12 | 96.1 | 94.3 | 50.7 | 16.9 | 88.8 | |
| USS+MSPBackbone=PointNet2022.12 | 96.1 | 93.8 | 47.4 | 17.1 | 90.2 | |
| PointCaMBackbone=PointNet, Configuration=USS+USE2022.12 | 96 | 94.1 | 43.7 | 17.1 | 90.2 |