Few-shot Classification on ModelNet40 10-way 20-shot v1 (test)
95.9AccuracyPCP-MAE
Evaluation Results
| Method | Links | |
|---|---|---|
| PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 95.9 | |
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 95.8 | |
| TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 95.8 | |
| ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 95.8 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 95.6 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 95.5 | |
| PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 95.2 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 95.1 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 95 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 95 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 93.4 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 92.7 | |
| OcCoLearning Paradigm=Supervised Learning Only2024.08 | 86.5 | |
| PointNetLearning Paradigm=Supervised Learning Only2024.08 | 35.2 | |
| DGCNNLearning Paradigm=Supervised Learning Only2024.08 | 16.9 |