Object Classification on ScanObjectNN
94.18Accuracy (OBJ_ONLY)MPL-MAE
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| MPL-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 94.18 | — | 95.52 | — | — | — | — | 90.35 | |
| PCP-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 93.98 | — | 95.52 | — | — | — | — | 90.35 | |
| Point-FEMAE#P (M)=27.4, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 93.29 | — | 95.18 | — | — | — | — | 90.22 | |
| Point-MAE†#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 92.42 | — | 92.94 | — | — | — | — | 88.58 | |
| MPL-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-3)2026.06 | 92.3 | — | 92.9 | — | — | — | — | 86 | |
| PointDiff#Points=1k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 91.9 | — | 93.2 | 87.6 | — | — | — | — | |
| Point-FEMAE#P (M)=27.4, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-3)2026.06 | 91.7 | — | 90.5 | — | — | — | — | 85 | |
| PCP-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-3)2026.06 | 91.2 | — | 90.7 | — | — | — | — | 83.6 | |
| Point-PQAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-3)2026.06 | 91.1 | — | 90.9 | — | — | — | — | 83.4 | |
| MPL-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-LINEAR)2026.06 | 90.7 | — | 91.4 | — | — | — | — | 82.5 | |
| Point-PQAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-LINEAR)2026.06 | 90.6 | — | 89.6 | — | — | — | — | 80.9 | |
| Point2Vec#Points=2k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 90.4 | — | 91.2 | 87.5 | — | — | — | — | |
| Point-JEPA#Points=2k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 90.1 | — | 92.9 | 86.6 | — | — | — | — | |
| PointGPT-S#Points=2k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 90 | — | 91.6 | 86.9 | — | — | — | — | |
| PCP-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-LINEAR)2026.06 | 89.5 | — | 89.7 | — | — | — | — | 81 | |
| Point-MAE†#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-3)2026.06 | 89.5 | — | 87.8 | — | — | — | — | 82.5 | |
| DeltaNet2021.11 | 89.3 | 89.5 | 89.4 | 84.7 | 87 | — | 85.1 | — | |
| Point-FEMAE#P (M)=27.4, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-LINEAR)2026.06 | 89.2 | — | 89.3 | — | — | — | — | 80.6 | |
| Point-M2AE#P (M)=15.3, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 88.81 | — | 91.22 | — | — | — | — | 86.43 | |
| Point-M2AE#Points=2k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 88.8 | — | 91.2 | 86.4 | — | — | — | — | |
| Point-MAE#Points=2k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 88.3 | — | 90 | 85.2 | — | — | — | — | |
| Point-MAE#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 88.29 | — | 90.02 | — | — | — | — | 85.18 | |
| Point-BERT#P (M)=22.1, Input=1K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 88.12 | — | 87.43 | — | — | — | — | 83.07 | |
| Point-BERT#Points=1k, Evaluation Protocol=End-to-End Fine-Tuning, Pre-training=ShapeNet [6]2024.04 | 88.1 | — | 87.4 | 83.1 | — | — | — | — | |
| MaskPointInput=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2026.06 | 88.1 | — | 89.3 | — | — | — | — | 84.3 | |
| Point-MAE†#P (M)=22.1, Input=2K Points, Evaluation Protocol=with Self-Supervised Representation Learning (MLP-LINEAR)2026.06 | 87.3 | — | 86.9 | — | — | — | — | 76.5 | |
| GDANet2021.11 | 87 | 88.5 | — | — | — | — | — | — | |
| DGCNN#P (M)=1.8, Input=1K Points, Evaluation Protocol=Supervised Learning Only2026.06 | 86.2 | — | 82.8 | — | — | — | — | 78.1 | |
| PointCNN2021.11 | 86.1 | 85.5 | 83.6 | 78.5 | 82.5 | — | 78.5 | — | |
| PointNet++#P (M)=1.5, Input=1K Points, Evaluation Protocol=Supervised Learning Only2026.06 | 84.3 | — | 82.3 | — | — | — | — | 77.9 | |
| DGCNN2021.11 | 82.8 | 86.2 | 83.3 | 78.1 | 81.5 | — | 80 | — | |
| PointNet++2021.11 | 82.3 | 84.3 | 82.7 | 77.9 | 81.4 | — | 79.1 | — | |
| PointNet#P (M)=3.5, Input=1K Points, Evaluation Protocol=Supervised Learning Only2026.06 | 79.2 | — | 73.3 | — | — | — | — | 68 | |
| SpiderCNN2021.11 | 77.1 | 79.5 | 78.1 | 73.7 | 77.7 | — | 73.8 | — | |
| PointNet2021.11 | 73.3 | 79.2 | 73.5 | 68.2 | 72.7 | — | 68.2 | — | |
| 3DmFV2021.11 | 68.2 | 73.8 | 67.1 | 63 | 67.4 | — | 63.5 | — | |
| SUGAR (single)Zero-shot=true, Training Data=Ensembled w/ LVIS dataset2024.04 | 65.3 | — | 67.6 | 49.8 | — | — | — | — | |
| SUGAR (multi)Zero-shot=true, Training Data=Ensembled w/ LVIS dataset2024.04 | 64.9 | — | 66.8 | 48.3 | — | — | — | — | |
| ULIP-2 + RCRegulation Constraints (RC)=true2024.10 | 56.27 | — | 59.03 | 46.77 | — | — | — | — | |
| OpenShapeZero-shot=true, Training Data=Ensembled w/ LVIS dataset2024.04 | 54 | — | 59.1 | 43.6 | — | — | — | — | |
| ULIP-2Regulation Constraints (RC)=false2024.10 | 48.53 | — | 53.8 | 40.07 | — | — | — | — | |
| ULIP + RCRegulation Constraints (RC)=true2024.10 | 46.33 | — | 40.33 | 28.43 | — | — | — | — | |
| ULIPRegulation Constraints (RC)=false2024.10 | 43.53 | — | 39.43 | 26.83 | — | — | — | — | |
| P-CLIP2Regulation Constraints (RC)=false2024.10 | 25.63 | — | 34.3 | 39.53 | — | — | — | — | |
| P-CLIP2 + RCRegulation Constraints (RC)=true2024.10 | 24.5 | — | 34.2 | 39.77 | — | — | — | — | |
| P-CLIPRegulation Constraints (RC)=false2024.10 | 22.89 | — | 18.59 | 15.51 | — | — | — | — | |
| BGA-DGCNN2021.11 | — | — | — | 79.9 | — | — | — | — | |
| BGA-PN++2021.11 | — | — | — | 80.2 | — | — | — | — | |
| CrossPointBackbone=PointNet, Linear Probing=true2022.03 | — | 75.6 | — | — | — | — | — | — | |
| CrossPointBackbone=DGCNN, Linear Probing=true2022.03 | — | 81.7 | — | — | — | — | — | — | |
| DRNet2021.11 | — | — | — | 80.3 | — | — | — | — | |
| GBNet2021.11 | — | 80.5 | — | 81.5 | — | — | — | — | |
| JigsawBackbone=PointNet, Linear Probing=true2022.03 | — | 55.2 | — | — | — | — | — | — | |
| JigsawBackbone=DGCNN, Linear Probing=true2022.03 | — | 59.5 | — | — | — | — | — | — | |
| ModelNet40Pre-training supervision=Uns2022.05 | — | 68.9 | — | — | — | — | — | — | |
| ModelNet40Pre-training supervision=Sup2022.05 | — | 70.1 | — | — | — | — | — | — | |
| ModelNet40Pre-training supervision=Uns&Sup2022.05 | — | 72.5 | — | — | — | — | — | — | |
| OcCoBackbone=PointNet, Linear Probing=true2022.03 | — | 69.5 | — | — | — | — | — | — | |
| OcCoBackbone=DGCNN, Linear Probing=true2022.03 | — | 78.3 | — | — | — | — | — | — | |
| Primitive3DPre-training supervision=Uns2022.05 | — | 70.8 | — | — | — | — | — | — | |
| Primitive3DPre-training supervision=Sup2022.05 | — | 76.7 | — | — | — | — | — | — | |
| Primitive3DPre-training supervision=Uns&Sup2022.05 | — | 78.5 | — | — | — | — | — | — | |
| ScanNet10Pre-training supervision=Uns2022.05 | — | 70.7 | — | — | — | — | — | — | |
| ScanNet10Pre-training supervision=Sup2022.05 | — | 68.5 | — | — | — | — | — | — | |
| ScanNet10Pre-training supervision=Uns&Sup2022.05 | — | 70.2 | — | — | — | — | — | — | |
| ShapeNetPre-training supervision=Uns2022.05 | — | 72.2 | — | — | — | — | — | — | |
| ShapeNetPre-training supervision=Sup2022.05 | — | 73.2 | — | — | — | — | — | — | |
| ShapeNetPre-training supervision=Uns&Sup2022.05 | — | 74.5 | — | — | — | — | — | — | |
| STRLBackbone=PointNet, Linear Probing=true2022.03 | — | 74.2 | — | — | — | — | — | — | |
| STRLBackbone=DGCNN, Linear Probing=true2022.03 | — | 77.9 | — | — | — | — | — | — |