Point Cloud Segmentation On Pointcloud C
Métriques
mean Corruption Error (mCE)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mean Corruption Error (mCE) |
|---|---|
| dynamic-graph-cnn-for-learning-on-point | 1.000 |
| rethinking-network-design-and-local-geometry-1 | 0.977 |
| pre-training-by-completing-point-clouds | 1.130 |
| masked-autoencoders-for-point-cloud-self | 0.927 |
| learning-geometry-disentangled-representation | 0.923 |
| pointnet-deep-learning-on-point-sets-for-3d | 1.178 |
| paconv-position-adaptive-convolution-with | 0.927 |
| pre-training-by-completing-point-clouds | 0.977 |
| point-transformer-1 | 1.049 |
| pointnet-deep-hierarchical-feature-learning | 1.112 |
| pre-training-by-completing-point-clouds | 1.173 |