Point Cloud Registration On Kitti Trained On
Metriken
Success Rate
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Success Rate |
|---|---|
| pointdsc-robust-point-cloud-registration | 96.76 |
| geotransformer-fast-and-robust-point-cloud | 67.93 |
| you-only-hypothesize-once-point-cloud | 81.44 |
| generalisable-and-distinctive-3d-local-deep | 98.92 |
| fully-convolutional-geometric-features | 24.19 |
| you-only-hypothesize-once-point-cloud | 82.16 |
| spinnet-learning-a-general-surface-descriptor | 81.44 |
| d3feat-joint-learning-of-dense-detection-and | 36.76 |
| challenging-the-universal-representation-of | 90.27 |
| sc2-pcr-a-second-order-spatial-compatibility | 97.66 |
| addressing-the-generalization-of-3d | 94.95 |
| predator-registration-of-3d-point-clouds-with | 41.20 |
| pointdsc-robust-point-cloud-registration | 94.05 |
| distinctive-3d-local-deep-descriptors | 93.51 |