Partial Point Cloud Matching on 4DMatch
Metric: IR (higher is better)
Metric: IR (higher is better)
| # | Model↕ | IR▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Li and Harada (θc=0.2) | 85.4 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 2 | Li and Harada (θc=0.1) | 82.7 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 3 | Li and Harada (θc=0.05) | 80.9 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 4 | Predator (3000) | 60.4 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 5 | Predator (1000) | 60 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 6 | Predator (5000) | 59.3 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 7 | D3Feat (5000) | 55.3 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 8 | D3Feat (3000) | 54.7 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |
| 9 | D3Feat (1000) | 52.7 | No | Lepard: Learning partial point cloud matching in... | 2021-11-24 | Code |