Point Cloud Registration On 3Dmatch At Least 2
Metriken
Recall ( correspondence RMSE below 0.2)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Recall ( correspondence RMSE below 0.2) |
|---|---|
| omnet-learning-overlapping-mask-for-partial | 35.9 |
| the-perfect-match-3d-point-cloud-matching | 78.4 |
| predator-registration-of-3d-point-clouds-with | 89 |
| predator-registration-of-3d-point-clouds-with | 90.5 |
| regtr-end-to-end-point-cloud-correspondences | 92 |
| d3feat-joint-learning-of-dense-detection-and | 81.6 |
| pcam-product-of-cross-attention-matrices-for | 85.5 |
| neighborhood-aware-geometric-encoding-network | 92.9 |
| fully-convolutional-geometric-features | 85.1 |
| predator-registration-of-3d-point-clouds-with | 62.7 |
| deep-global-registration | 85.3 |