3D Object Classification On Modelnet10
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | 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 |