Few-shot classification on ModelNet40 10-way 10-shot v1 (test)
94AccuracyPoint-FEMAE
Evaluation Results
| Method | Links | |
|---|---|---|
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 94 | |
| PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 93.5 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 93.3 | |
| ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 93.3 | |
| TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 93.1 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 92.6 | |
| PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 92.6 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 92.6 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 92.6 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 92.3 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 91.4 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 91 | |
| OcCoLearning Paradigm=Supervised Learning Only2024.08 | 82.9 | |
| PointNetLearning Paradigm=Supervised Learning Only2024.08 | 46.6 | |
| DGCNNLearning Paradigm=Supervised Learning Only2024.08 | 19.9 |