3D Place Recognition On Oxford Robotcar
Metriken
AR@1
AR@1%
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AR@1 | AR@1% |
|---|---|---|
| dh3d-deep-hierarchical-3d-descriptors-for | 74.2 | 85.3 |
| crossloc3d-aerial-ground-cross-source-3d | 94.36 | 98.59 |
| 181207050 | 86.3 | 94.9 |
| pcan-3d-attention-map-learning-using | - | 83.8 |
| pyramid-point-cloud-transformer-for-large | 93.5 | 98.1 |
| pointnetvlad-deep-point-cloud-based-retrieval | - | 80.3 |
| soe-net-a-self-attention-and-orientation | - | 96.4 |
| Modell 8 | 93.0 | 97.9 |
| svt-net-a-super-light-weight-network-for | 93.7 | 97.8 |
| minkloc3d-si-3d-lidar-place-recognition-with | 82.0 | 93.1 |