3D Object Classification on ModelNet40 rotated (test)
91.1AccuracyEMVN
Evaluation results
| Method | Links | |
|---|---|---|
| EMVNnumber of images=602020.06 | 91.1 | |
| SWSCNNbreaking equivariance=false2020.06 | 88.8 | |
| SphCNN2020.06 | 88.4 | |
| SWSCNNbreaking equivariance=true2020.06 | 88.2 | |
| UGSCNN2020.06 | 81.9 | |
| RITransformerTraining Data=Ensemble, Zero-shot=true2026.02 | 78.7 | |
| RI-MambaTraining Data=Ensemble, Zero-shot=true2026.02 | 76.5 | |
| LocoTransTraining Data=Ensemble, Zero-shot=true2026.02 | 73 | |
| RITransformerTraining Data=ShapeNet, Zero-shot=true2026.02 | 72.7 | |
| RI-MambaTraining Data=ShapeNet, Zero-shot=true2026.02 | 71.8 | |
| LocoTransTraining Data=ShapeNet, Zero-shot=true2026.02 | 66.8 | |
| PointBERT-TAMMTraining Data=Ensemble, Zero-shot=true2026.02 | 25.3 | |
| DuoMambaTraining Data=Ensemble, Zero-shot=true2026.02 | 24.8 | |
| PointBERT-TAMMTraining Data=ShapeNet, Zero-shot=true2026.02 | 16.9 | |
| DuoMambaTraining Data=ShapeNet, Zero-shot=true2026.02 | 16.4 |