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SotA/Computer Vision/Partial Point Cloud Matching/4DMatch

Partial Point Cloud Matching on 4DMatch

Metric: NFMR (higher is better)

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#Model↕NFMR▼Extra DataPaperDate↕Code
1Li and Harada (θc=0.05)83.9NoLepard: Learning partial point cloud matching in...2021-11-24Code
2Li and Harada (θc=0.1)83.7NoLepard: Learning partial point cloud matching in...2021-11-24Code
3Li and Harada (θc=0.2)82.2NoLepard: Learning partial point cloud matching in...2021-11-24Code
4Predator (5000)56.8NoLepard: Learning partial point cloud matching in...2021-11-24Code
5Predator (3000)56.4NoLepard: Learning partial point cloud matching in...2021-11-24Code
6D3Feat (5000)56.1NoLepard: Learning partial point cloud matching in...2021-11-24Code
7D3Feat (3000)55.5NoLepard: Learning partial point cloud matching in...2021-11-24Code
8Predator (1000)53.3NoLepard: Learning partial point cloud matching in...2021-11-24Code
9D3Feat (1000)51.6NoLepard: Learning partial point cloud matching in...2021-11-24Code