most citedMulti-Features Guidance Network for partial-to-partial point cloud registration

23 citations · 23 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 23 cited

Multi-Features Guidance Network for partial-to-partial point cloud registration

Hongyuan Wang, Xiang Liu, Wen Kang +3

To eliminate the problems of large dimensional differences, big semantic gap, and mutual interference caused by hybrid features, in this paper, we propose a novel Multi-Features Gu…