Object Classification on ScanObjectNN PB_T50_RS v1.0
93.4AccuracyPointGPT-L
Evaluation results
| Method | Links | |
|---|---|---|
| PointGPT-LLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.05 | 93.4 | |
| PointGPT-BLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.05 | 91.9 | |
| ReConLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 91.3 | |
| PointMLP+ULIPLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 89.4 | |
| P2P-HorNetLearning Paradigm=Supervised Learning Only2023.05 | 89.3 | |
| ACTLearning Paradigm=Cross-modal Information and Teacher Models2023.05 | 88.2 | |
| PointNeXtLearning Paradigm=Supervised Learning Only2023.05 | 87.7 | |
| P2P-RN101Learning Paradigm=Supervised Learning Only2023.05 | 87.1 | |
| PointGPT-SLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=false, Post-pre-training stage=false2023.05 | 86.9 | |
| Point-M2AELearning Paradigm=Self-Supervised Representation Learning2023.05 | 86.4 | |
| PointMLPLearning Paradigm=Supervised Learning Only2023.05 | 85.4 | |
| Point-MAELearning Paradigm=Self-Supervised Representation Learning2023.05 | 85.2 | |
| MaskPointLearning Paradigm=Self-Supervised Representation Learning2023.05 | 84.3 | |
| Point-BERTLearning Paradigm=Self-Supervised Representation Learning2023.05 | 83.1 | |
| MVTNLearning Paradigm=Supervised Learning Only2023.05 | 82.8 | |
| GBNetLearning Paradigm=Supervised Learning Only2023.05 | 81 | |
| PointCNNLearning Paradigm=Supervised Learning Only2023.05 | 78.5 | |
| DGCNNLearning Paradigm=Supervised Learning Only2023.05 | 78.1 | |
| PointNetLearning Paradigm=Supervised Learning Only2023.05 | 68 |