Few-shot classification on ModelNet40 5-way 10-shot v1 (test)
0.974AccuracyPCP-MAE
Evaluation Results
| Method | Links | |
|---|---|---|
| PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.974 | |
| TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 0.973 | |
| ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 0.973 | |
| Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.972 | |
| I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 0.97 | |
| Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.968 | |
| PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.968 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 0.968 | |
| Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.08 | 0.967 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.963 | |
| MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.95 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.08 | 0.946 | |
| OcCoLearning Paradigm=Supervised Learning Only2024.08 | 0.906 | |
| PointNetLearning Paradigm=Supervised Learning Only2024.08 | 0.52 | |
| DGCNNLearning Paradigm=Supervised Learning Only2024.08 | 0.316 |