3D Object Classification On Modelnet40
Métriques
Classification Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Classification Accuracy |
|---|---|
| general-purpose-deep-point-cloud-feature | 91.7 |
| crossmoco-multi-modal-momentum-contrastive | 91.49 |
| dynamic-edge-conditioned-filters-in | 83.2 |
| o-cnn-octree-based-convolutional-neural | 89.9 |
| exploiting-inductive-bias-in-transformer-for | 93.6 |
| spherical-kernel-for-efficient-graph | 89.3 |
| 3d-point-capsule-networks | 89.3 |