Object Classification on ScanObjectNN OBJ_ONLY v1.0
96.6AccuracyPointGPT-L
Evaluation Results
| Method | Links | |
|---|---|---|
| PointGPT-LLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.05 | 96.6 | |
| PointGPT-BLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.05 | 95.2 | |
| PCP-MAE#P (M)=22.1, Input=2k Points2024.08 | 94.32 | |
| ReCon#P (M)=43.6, Input=2k Points2024.08 | 93.63 | |
| ReConLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 93.6 | |
| Point-FEMAE#P (M)=27.4, Input=2k Points2024.08 | 93.29 | |
| MVTNLearning Paradigm=Supervised Learning Only2023.05 | 92.3 | |
| MVTN#P (M)=11.2, Input=20 Images2024.08 | 92.3 | |
| ACT#P (M)=22.1, Input=2k Points2024.08 | 91.91 | |
| ACTLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 91.9 | |
| I2P-MAE#P (M)=15.3, Input=2k Points2024.08 | 91.57 | |
| PointGPT-SLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=false, Post-pre-training stage=false2023.05 | 90 | |
| PointGPT#P (M)=19.5, Input=2k Points2024.08 | 90 | |
| TAP#P (M)=22.1, Input=2k Points2024.08 | 89.5 | |
| Joint-MAEInput=2k Points2024.08 | 88.86 | |
| Point-M2AE#P (M)=15.3, Input=2k Points2024.08 | 88.81 | |
| Point-M2AELearning Paradigm=Self-Supervised Representation Learning2023.05 | 88.8 | |
| Point-MAE#P (M)=22.1, Input=2k Points2024.08 | 88.29 | |
| Point-MAELearning Paradigm=Self-Supervised Representation Learning2023.05 | 88.2 | |
| Point-BERT#P (M)=22.1, Input=1k Points2024.08 | 88.12 | |
| Point-BERTLearning Paradigm=Self-Supervised Representation Learning2023.05 | 88.1 | |
| MaskPointLearning Paradigm=Self-Supervised Representation Learning2023.05 | 88.1 | |
| MaskPointInput=2k Points2024.08 | 88.1 | |
| DGCNNLearning Paradigm=Supervised Learning Only2023.05 | 86.2 | |
| DGCNN#P (M)=1.8, Input=1k Points2024.08 | 86.2 | |
| PointCNNLearning Paradigm=Supervised Learning Only2023.05 | 85.5 | |
| PointNet++#P (M)=1.5, Input=1k Points2024.08 | 84.3 | |
| PointNetLearning Paradigm=Supervised Learning Only2023.05 | 79.2 | |
| PointNet#P (M)=3.5, Input=1k Points2024.08 | 79.2 |