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Partial Point Cloud Matching
벤치마크
Partial Point Cloud Matching on
4DMatch
9개 결과 ·
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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)
2021-11-24 — Li and Harada (θc=0.05): NFMR 83.9
Rank
Model
NFMR
IR
Paper
Code
Year
1
Li and Harada (θc=0.05)
83.9
80.9
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
2
Li and Harada (θc=0.1)
83.7
82.7
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
3
Li and Harada (θc=0.2)
82.2
85.4
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
4
Predator (5000)
56.8
59.3
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
5
Predator (3000)
56.4
60.4
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
6
D3Feat (5000)
56.1
55.3
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
7
D3Feat (3000)
55.5
54.7
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
8
Predator (1000)
53.3
60
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
9
D3Feat (1000)
51.6
52.7
Lepard: Learning partial point cloud matching in rigid and deformable scenes
rabbityl/lepard
2021
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