3D Object Detection On Waymo Open Dataset
Métriques
mAPH/L2
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mAPH/L2 |
|---|---|
| lion-linear-group-rnn-for-3d-object-detection | 74.0 |
| avs-net-point-sampling-with-adaptive-voxel | 72.4 |
| center-based-3d-object-detection-and-tracking | 65.8 |
| pv-rcnn-point-voxel-feature-set-abstraction-1 | 69.5 |
| hednet-a-hierarchical-encoder-decoder-network-1 | 73.4 |
| do-you-remember-the-future-weak-to-strong | 71.4 |
| dsvt-dynamic-sparse-voxel-transformer-with | 72.1 |
| centerformer-center-based-transformer-for-3d | 68.9 |