3D Object Classification On Modelnet10
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | Accuracy |
---|---|
polynet-polynomial-neural-network-for-3d | 94.93 |
orientation-boosted-voxel-nets-for-3d-object | 93.8 |
general-purpose-deep-point-cloud-feature | 93.1 |
dynamic-edge-conditioned-filters-in | 90 |