Object Classification on ModelNet40 1k points
95.1AccuracyMamba3D
Evaluation Results
| Method | Links | |
|---|---|---|
| Mamba3DPT=Point-MAE, #P (M)=16.9, #F (G)=3.9, Voting Strategy=true2024.04 | 95.1 | |
| PointGPT-LLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.05 | 94.7 | |
| Mamba3DPT=Point-MAE, #P (M)=16.9, #F (G)=3.9, Voting Strategy=false2024.04 | 94.7 | |
| PointMLPLearning Paradigm=Supervised Learning Only2023.05 | 94.5 | |
| PointMLP+ULIPLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 94.5 | |
| ReConLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 94.5 | |
| PointMLP#P (M)=12.6, #F (G)=31.4, Training Paradigm=Supervised Learning Only2023.07 | 94.5 | |
| ReCon#P (M)=43.6, #F (G)=5.3, Training Paradigm=with Pretrained Cross-Modal Teacher Representation Learning2023.07 | 94.5 | |
| PointMLPPT=×, #P (M)=12.6, #F (G)=31.42024.04 | 94.5 | |
| PointGPT-BLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.05 | 94.4 | |
| Point-MAEPT=IDPT, #P (M)=22.1+1.7†, #F (G)=4.82024.04 | 94.4 | |
| Mamba3DPT=Point-BERT, #P (M)=16.9, #F (G)=3.9, Voting Strategy=false2024.04 | 94.4 | |
| VPP w/ vot.#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning, Voting Strategy=Yes2023.07 | 94.1 | |
| I2P-MAE#P (M)=12.9, #F (G)=3.6, Training Paradigm=with Pretrained Cross-Modal Teacher Representation Learning2023.07 | 94.1 | |
| Mamba3DPT=×, #P (M)=16.9, #F (G)=3.9, Voting Strategy=true2024.04 | 94.1 | |
| PointNeXtLearning Paradigm=Supervised Learning Only2023.05 | 94 | |
| P2P-HorNetLearning Paradigm=Supervised Learning Only2023.05 | 94 | |
| Point-M2AELearning Paradigm=Self-Supervised Representation Learning2023.05 | 94 | |
| PointGPT-SLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=false, Post-pre-training stage=false2023.05 | 94 | |
| PointNeXt#P (M)=1.4, #F (G)=3.6, Training Paradigm=Supervised Learning Only2023.07 | 94 | |
| Point-M2AE#P (M)=14.8, #F (G)=3.6, Training Paradigm=with Self-Supervised Representation Learning2023.07 | 94 | |
| PointNeXtPT=×, #P (M)=1.4, #F (G)=3.62024.04 | 94 | |
| P2P-HorNetPT=✓, #F (G)=34.62024.04 | 94 | |
| DeLAPT=×, #P (M)=5.3, #F (G)=1.52024.04 | 94 | |
| Point-M2AEPT=Point-M2AE, #P (M)=15.3, #F (G)=3.62024.04 | 94 | |
| SimpleViewPT=×2024.04 | 93.9 | |
| GBNetLearning Paradigm=Supervised Learning Only2023.05 | 93.8 | |
| MVTNLearning Paradigm=Supervised Learning Only2023.05 | 93.8 | |
| MaskPointLearning Paradigm=Self-Supervised Representation Learning2023.05 | 93.8 | |
| Point-MAELearning Paradigm=Self-Supervised Representation Learning2023.05 | 93.8 | |
| Point-MAE#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning2023.07 | 93.8 | |
| VPP w/o vot.#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning, Voting Strategy=No2023.07 | 93.8 | |
| GBNetPT=×, #P (M)=8.82024.04 | 93.8 | |
| MVTNPT=×, #P (M)=11.2, #F (G)=43.72024.04 | 93.8 | |
| MaskPointPT=MaskPoint, #P (M)=22.1, #F (G)=4.82024.04 | 93.8 | |
| Point-MAEPT=Point-MAE, #P (M)=22.1, #F (G)=4.82024.04 | 93.8 | |
| ACTLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 93.7 | |
| ACT#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Pretrained Cross-Modal Teacher Representation Learning2023.07 | 93.7 | |
| PRA-NetPT=×, #F (G)=2.32024.04 | 93.7 | |
| PointConTPT=×2024.04 | 93.5 | |
| Mamba3DPT=×, #P (M)=16.9, #F (G)=3.9, Voting Strategy=false2024.04 | 93.4 | |
| Point-BERTPT=IDPT, #P (M)=22.1+1.7†, #F (G)=4.82024.04 | 93.4 | |
| Point-BERTLearning Paradigm=Self-Supervised Representation Learning2023.05 | 93.2 | |
| PCT#P (M)=2.88, #F (G)=2.3, Training Paradigm=Supervised Learning Only2023.07 | 93.2 | |
| Point-BERT#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning2023.07 | 93.2 | |
| PCTPT=×, #P (M)=2.9, #F (G)=2.32024.04 | 93.2 | |
| Point-BERTPT=Point-BERT, #P (M)=22.1, #F (G)=4.82024.04 | 93.2 | |
| P2P-RN101Learning Paradigm=Supervised Learning Only2023.05 | 93.1 | |
| DRNetPT=×2024.04 | 93.1 | |
| DGCNNLearning Paradigm=Supervised Learning Only2023.05 | 92.9 | |
| DGCNN#P (M)=1.8, #F (G)=2.4, Training Paradigm=Supervised Learning Only2023.07 | 92.9 | |
| DGCNNPT=×, #P (M)=1.8, #F (G)=2.42024.04 | 92.9 | |
| PointCNNLearning Paradigm=Supervised Learning Only2023.05 | 92.2 | |
| PointCNN#P (M)=0.6, Training Paradigm=Supervised Learning Only2023.07 | 92.2 | |
| PointCNNPT=×, #P (M)=0.62024.04 | 92.2 | |
| TransformerPT=OcCo, #P (M)=22.1, #F (G)=4.82024.04 | 92.1 | |
| Transformer#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning2023.07 | 91.4 | |
| TransformerPT=×, #P (M)=22.1, #F (G)=4.82024.04 | 91.4 | |
| PointNet++#P (M)=1.5, #F (G)=1.7, Training Paradigm=Supervised Learning Only2023.07 | 90.7 | |
| PointNet++PT=×, #P (M)=1.5, #F (G)=1.72024.04 | 90.7 | |
| PointNetLearning Paradigm=Supervised Learning Only2023.05 | 89.2 | |
| PointNet#P (M)=3.5, #F (G)=0.5, Training Paradigm=Supervised Learning Only2023.07 | 89.2 | |
| PointNetPT=×, #P (M)=3.5, #F (G)=0.52024.04 | 89.2 |