ML Research Wiki / Benchmarks / Partial Point Cloud Matching / 4DMatch

4DMatch

Partial Point Cloud Matching Benchmark

Performance Over Time

📊 Showing 9 results | 📏 Metric: NFMR

Top Performing Models

Rank Model Paper NFMR Date Code
1 Li and Harada (θc=0.2) Lepard: Learning partial point cloud matching in rigid and deformable scenes 85.40 2021-11-24 📦 rabbityl/lepard
2 Li and Harada (θc=0.1) Lepard: Learning partial point cloud matching in rigid and deformable scenes 82.70 2021-11-24 📦 rabbityl/lepard
3 Li and Harada (θc=0.05) Lepard: Learning partial point cloud matching in rigid and deformable scenes 80.90 2021-11-24 📦 rabbityl/lepard
4 Predator (3000) Lepard: Learning partial point cloud matching in rigid and deformable scenes 60.40 2021-11-24 📦 rabbityl/lepard
5 Predator (1000) Lepard: Learning partial point cloud matching in rigid and deformable scenes 60.00 2021-11-24 📦 rabbityl/lepard
6 Predator (5000) Lepard: Learning partial point cloud matching in rigid and deformable scenes 59.30 2021-11-24 📦 rabbityl/lepard
7 D3Feat (5000) Lepard: Learning partial point cloud matching in rigid and deformable scenes 55.30 2021-11-24 📦 rabbityl/lepard
8 D3Feat (3000) Lepard: Learning partial point cloud matching in rigid and deformable scenes 54.70 2021-11-24 📦 rabbityl/lepard
9 D3Feat (1000) Lepard: Learning partial point cloud matching in rigid and deformable scenes 52.70 2021-11-24 📦 rabbityl/lepard

All Papers (9)

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