3D Object Recognition On Modelnet40
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| r2-mlp-round-roll-mlp-for-multi-view-3d | 97.7% |
| volumetric-and-multi-view-cnns-for-object | 93.8% |
| fpnn-field-probing-neural-networks-for-3d | 88.4% |
| learning-a-hierarchical-latent-variable-model | 84.5% |
| meshwalker-deep-mesh-understanding-by-random | 92.3% |
| mvt-multi-view-vision-transformer-for-3d | 97.5% |