5-way Few-shot Classification on ModelNet40
93.2Mean AccuracyNPNet
Evaluation results
| Method | Links | |
|---|---|---|
| NPNetshot=20-shot, method_type=Non-parametric, runs=10 runs2026.01 | 93.2 | |
| NPNetshot=10-shot, method_type=Non-parametric, runs=10 runs2026.01 | 92 | |
| Point-NNshot=20-shot, method_type=Non-parametric, runs=10 runs2026.01 | 90.9 | |
| Point-GNshot=20-shot, method_type=Non-parametric, runs=10 runs2026.01 | 90.9 | |
| Point-GNshot=10-shot, method_type=Non-parametric, runs=10 runs2026.01 | 90.7 | |
| Point-NNshot=10-shot, method_type=Non-parametric, runs=10 runs2026.01 | 88.8 | |
| PointCNNshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 68.6 | |
| 3D-GANshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 65.8 | |
| PointCNNshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 65.4 | |
| PointNetshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 57.8 | |
| 3D-GANshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 55.8 | |
| PointNetshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 52 | |
| PointNet++shot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 42.4 | |
| DGCNNshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 40.8 | |
| PointNet++shot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 38.5 | |
| FoldingNetshot=20-shot, method_type=Parametric, runs=10 runs2026.01 | 35.8 | |
| FoldingNetshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 33.4 | |
| DGCNNshot=10-shot, method_type=Parametric, runs=10 runs2026.01 | 31.6 |