Object Classification on ModelNet40 clean
93.4Overall AccuracyPoint Cloud Mamba
Evaluation results
| Method | Links | |
|---|---|---|
| Point Cloud MambaInput=xyz, Pre-training Representation=Point Cloud2026.07 | 93.4 | |
| Mamba3DInput=xyz, Pre-training Representation=Point Cloud2026.07 | 93.4 | |
| GaussFusionInput=Gaussian, Pre-training Representation=3D Gaussian2026.07 | 93.07 | |
| PointASNLInput=xyz, Pre-training Representation=Point Cloud2026.07 | 92.9 | |
| A-CNNInput=xyz+normal, Pre-training Representation=Point Cloud2026.07 | 92.6 | |
| PointCNNInput=xyz, Pre-training Representation=Point Cloud2026.07 | 92.5 | |
| Gaussian-MAE†Input=Gaussian, Pre-training Representation=3D Gaussian, reproduced=true2026.07 | 92.46 | |
| PCNNInput=xyz, Pre-training Representation=Point Cloud2026.07 | 92.3 | |
| DGCNNInput=xyz, Pre-training Representation=Point Cloud2026.07 | 92.2 | |
| PointNet++Input=xyz+normal, Pre-training Representation=Point Cloud2026.07 | 91.9 | |
| P2SResLNetInput=xyz, Pre-training Representation=Point Cloud2026.07 | 90.6 | |
| PointNetInput=xyz, Pre-training Representation=Point Cloud2026.07 | 89.2 |