Point Cloud Classification on ModelNet40 10-way 20-shot v1
95.8AccuracyPoint-FEMAE
Evaluation results
| Method | Links | |
|---|---|---|
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 95.8 | |
| ReconLearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 95.8 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 95.6 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 95.5 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 95.1 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 95 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 95 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 93.4 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 92.7 | |
| Transformer-OcCoLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 92.4 | |
| PointNet-CrossPointLearning Paradigm=Supervised Learning Only2023.12 | 90.2 | |
| PointNet-OcCoLearning Paradigm=Supervised Learning Only2023.12 | 89.7 | |
| DGCNN-CrossPointLearning Paradigm=Supervised Learning Only2023.12 | 87.9 | |
| PointNetLearning Paradigm=Supervised Learning Only2023.12 | 35.2 | |
| DGCNNLearning Paradigm=Supervised Learning Only2023.12 | 16.9 |