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Partial Point Cloud Matching 벤치마크

Partial Point Cloud Matching on 4DMatch

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NFMR

51.6 59.68 67.75 75.83 83.9 2021-11 2026-11 Li and Harada (θc=0.05) — 83.9 (2021-11-24) Li and Harada (θc=0.1) — 83.7 (2021-11-24) Li and Harada (θc=0.2) — 82.2 (2021-11-24) Predator (5000) — 56.8 (2021-11-24) Predator (3000) — 56.4 (2021-11-24) D3Feat (5000) — 56.1 (2021-11-24) D3Feat (3000) — 55.5 (2021-11-24) Predator (1000) — 53.3 (2021-11-24) D3Feat (1000) — 51.6 (2021-11-24) Li and Harada (θc=0.05) — 83.9 (2021-11-24)
RankModel NFMRIR PaperCodeYear
1 Li and Harada (θc=0.05) 83.980.9 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
2 Li and Harada (θc=0.1) 83.782.7 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
3 Li and Harada (θc=0.2) 82.285.4 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
4 Predator (5000) 56.859.3 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
5 Predator (3000) 56.460.4 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
6 D3Feat (5000) 56.155.3 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
7 D3Feat (3000) 55.554.7 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
8 Predator (1000) 53.360 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
9 D3Feat (1000) 51.652.7 Lepard: Learning partial point cloud matching in rigid and deformable scenes rabbityl/lepard 2021
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