Point Cloud Classification on ModelNet40 (5-way 10-shot v1)
97.3AccuracyRecon
Evaluation results
| Method | Links | |
|---|---|---|
| ReconLearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 97.3 | |
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 97.2 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 97 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 96.8 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 96.8 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Learning2023.12 | 96.7 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 96.3 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 95 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 94.6 | |
| Transformer-OcCoLearning Paradigm=Single-Modal Self-Supervised Learning2023.12 | 94 | |
| DGCNN-CrossPointLearning Paradigm=Supervised Learning Only2023.12 | 92.5 | |
| PointNet-CrossPointLearning Paradigm=Supervised Learning Only2023.12 | 90.9 | |
| PointNet-OcCoLearning Paradigm=Supervised Learning Only2023.12 | 89.7 | |
| PointNetLearning Paradigm=Supervised Learning Only2023.12 | 52 | |
| DGCNNLearning Paradigm=Supervised Learning Only2023.12 | 31.6 |