D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion

Author:

Liu Xinhai,Han Zhizhong,Lee Sanghuk,Cao Yan-Pei,Liu Yu-Shen

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Aerospace Engineering,Automotive Engineering,Modeling and Simulation

Reference52 articles.

1. Learning representations and generative models for 3D point clouds;Achlioptas,2017

2. Point convolutional neural networks by extension operators;Atzmon;ACM Trans. Graph.,2018

3. ClusterNet: deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis;Chen,2019

4. Multi-view 3D object detection network for autonomous driving;Chen,2017

5. Efficient and flexible sampling with blue noise properties of triangular meshes;Corsini;IEEE Trans. Vis. Comput. Graph.,2012

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