10-way Few-shot Classification on ModelNet40
87.6Mean AccuracyNPNet
Evaluation results
| Method | Links | |
|---|---|---|
| NPNetshot=20-shot, method_type=Non-parametric, runs=10 runs2026.01 | 87.6 | |
| Point-GNshot=20-shot, method_type=Non-parametric, runs=10 runs2026.01 | 86.4 | |
| Point-NNshot=20-shot, method_type=Non-parametric, runs=10 runs2026.01 | 84.9 | |
| NPNetshot=10-shot, method_type=Non-parametric, runs=10 runs2026.01 | 82.5 | |
| Point-GNshot=10-shot, method_type=Non-parametric, runs=10 runs2026.01 | 81.6 | |
| Point-NNshot=10-shot, method_type=Non-parametric, runs=10 runs2026.01 | 79.9 | |
| PointCNNshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 50 | |
| 3D-GANshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 48.4 | |
| PointNetshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 46.6 | |
| PointCNNshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 46.6 | |
| 3D-GANshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 40.3 | |
| PointNetshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 35.2 | |
| PointNet++shot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 23 | |
| DGCNNshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 19.9 | |
| PointNet++shot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 18.8 | |
| FoldingNetshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 18.6 | |
| DGCNNshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 16.9 | |
| FoldingNetshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 15.4 |