Li and Harada (θc=0.05)

Reported on 2 benchmarks across 1 task · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Partial Point Cloud Matchingon4DMatch
NFMR· 2021-11-24
83.9
SOTA
Lepard: Learning partial point cloud matching in rigid and deformable scenes arXiv:2111.12591
Partial Point Cloud Matchingon4DMatch
IR· 2021-11-24
80.9
best: 85.4 (Li and Harada (θc=0.2))
Lepard: Learning partial point cloud matching in rigid and deformable scenes arXiv:2111.12591