Few-shot Classification on ModelNet40 5-way 20-shot v1 (test)
99.1AccuracyPCP-MAE
Evaluation Results
| Method | Links | |
|---|---|---|
| PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 99.1 | |
| ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 98.9 | |
| PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 98.6 | |
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 98.6 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 98.3 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 98.3 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 98 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 97.9 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 97.8 | |
| TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 97.8 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 97.2 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 96.3 | |
| OcCoLearning Paradigm=Supervised Learning Only2024.08 | 92.5 | |
| PointNetLearning Paradigm=Supervised Learning Only2024.08 | 57.8 | |
| DGCNNLearning Paradigm=Supervised Learning Only2024.08 | 40.8 |