Point Cloud Classification on ModelNet40 (official)
93.2AccuracyPCT
Evaluation Results
| Method | Links | |
|---|---|---|
| PCTInput=P, #Points=1k2021.08 | 93.2 | |
| TMDlayerInput=P, #Points=1k, Note=Replacing transformer layers in PCT2021.08 | 93 | |
| DGCNNInput=P, #Points=1k2021.08 | 92.9 | |
| A-CNNInput=P, N, #Points=1k2021.08 | 92.6 | |
| PointConvInput=P, N, #Points=1k2021.08 | 92.5 | |
| PCNNInput=P, #Points=1k2021.08 | 92.3 | |
| PointGridInput=P, #Points=1k2021.08 | 92 | |
| PointNet++Input=P, N, #Points=5k2021.08 | 91.9 | |
| Kd-NetInput=P, #Points=32k2021.08 | 91.8 | |
| SO-NetInput=P, N, #Points=2k2021.08 | 90.9 | |
| PointNet++Input=P, #Points=1k2021.08 | 90.7 | |
| A-SCNInput=P, #Points=1k2021.08 | 89.8 | |
| PointNetInput=P, #Points=1k2021.08 | 89.2 |