Point Cloud Classification on ModelNet40 10-way 10-shot v1
94AccuracyPoint-FEMAE
Evaluation results
| Method | Links | |
|---|---|---|
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 94 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 93.3 | |
| ReconLearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 93.3 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 92.6 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 92.6 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 92.6 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 92.3 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 91.4 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 91 | |
| Transformer-OcCoLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 89.4 | |
| PointNet-CrossPointLearning Paradigm=Supervised Learning Only2023.12 | 84.6 | |
| PointNet-OcCoLearning Paradigm=Supervised Learning Only2023.12 | 83.9 | |
| DGCNN-CrossPointLearning Paradigm=Supervised Learning Only2023.12 | 83.6 | |
| PointNetLearning Paradigm=Supervised Learning Only2023.12 | 46.6 | |
| DGCNNLearning Paradigm=Supervised Learning Only2023.12 | 19.9 |