3D Classification on ScanObjectNN OBJ-BG
95.2Top-1 AccMVNet-L
Evaluation results
| Method | Links | |
|---|---|---|
| MVNet-LEvaluation Protocol=fine-tuning, Pre-training Dataset=Objaverse, Feature Dimension=768, Attention Heads=122025.12 | 95.2 | |
| PointSD2026.06 | 95.2 | |
| Point-DAE2026.06 | 93.9 | |
| PRISMcombination=with Point-MAE2026.06 | 93.9 | |
| PRISM2026.06 | 93.5 | |
| PointDif2026.06 | 93.3 | |
| MaskFeat3DBackbone=PointNeXt2025.12 | 92.7 | |
| PointNeXt2025.12 | 91.9 | |
| MaskFeat3DBackbone=PointViT2025.12 | 91.7 | |
| MVNet-BEvaluation Protocol=fine-tuning, Pre-training Dataset=Objaverse2025.12 | 91.5 | |
| MVNet-BEvaluation Protocol=fine-tuning, Pre-training Dataset=ShapeNet2025.12 | 91.4 | |
| ULIPEvaluation Protocol=fine-tuning, Pre-training Dataset=ShapeNet2025.12 | 91.3 | |
| MaskSurfelEvaluation Protocol=fine-tuning, Pre-training Dataset=ShapeNet2025.12 | 91.2 | |
| Point-M2AE2026.06 | 91.2 | |
| PointMAEEvaluation Protocol=fine-tuning, Pre-training Dataset=ShapeNet2025.12 | 90 | |
| Point-MAE2026.06 | 90 | |
| PTv3training=from scratch2026.06 | 89.9 | |
| MaskDiscrEvaluation Protocol=fine-tuning, Pre-training Dataset=ShapeNet2025.12 | 89.7 | |
| PointMLP2025.12 | 88.7 | |
| TAMMPre-Training Dataset=Ensembled, Evaluation Protocol=Linear Probing2024.02 | 88.5 | |
| Point-BERT2026.06 | 88.1 | |
| PointBERTEvaluation Protocol=fine-tuning, Pre-training Dataset=ShapeNet2025.12 | 87.4 | |
| CrossPoint2026.06 | 86.2 | |
| PointCNN2024.12 | 86.1 | |
| PointCNN2025.12 | 86.1 | |
| OpenShapePre-Training Dataset=Ensembled, Evaluation Protocol=Linear Probing2024.02 | 85.9 | |
| Point-GNParam.=0.0 M2024.12 | 85.2 | |
| MaskFeat3DBackbone=MinkowskiNet2025.12 | 85.1 | |
| OcCo2026.06 | 84.5 | |
| MinkowskiNet2025.12 | 84.1 | |
| DGCNNParam.=1.8 M2024.12 | 82.8 | |
| DGCNN2025.12 | 82.8 | |
| PointNet++Param.=1.5 M2024.12 | 82.3 | |
| PointNet++2025.12 | 82.3 | |
| TAMMPre-Training Dataset=ShapeNet, Evaluation Protocol=Linear Probing2024.02 | 80.6 | |
| TransformerEvaluation Protocol=from scratch, Pre-training Dataset=None2025.12 | 79.9 | |
| OpenShapePre-Training Dataset=ShapeNet, Evaluation Protocol=Linear Probing2024.02 | 77.8 | |
| ULIPPre-Training Dataset=ShapeNet, Evaluation Protocol=Linear Probing2024.02 | 75.4 | |
| PointNetParam.=3.5 M2024.12 | 73.3 | |
| PointNet2025.12 | 73.3 | |
| Point-NNParam.=0.0 M2024.12 | 71.1 | |
| 3DmFV2024.12 | 68.2 |