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Graph-PBN: Graph-based parallel branch network for efficient point cloud learning

  • Published:2022-01 Issue: Volume:119 Page:101120
  • ISSN:1524-0703
  • Container-title:Graphical Models
  • language:en
  • Short-container-title:Graphical Models

Author:

Zhang Cheng,Chen Hao,Wan Haocheng,Yang Ping,Wu Zizhao

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Geometry and Topology,Modeling and Simulation,Software

Reference46 articles.

1. Dynamic graph CNN for learning on point clouds;Wang;ACM Trans. Graph,2019

2. PointNet: deep learning on point sets for 3Dclassification and segmentation;Qi,2017

3. Graph-FCN for image semantic segmentation;Lu,2019

4. Local spectral graph convolution for point set feature learning;Wang,2018

5. VoxelNet: end-to-end learning for point cloud based 3D object detection;Zhou,2018

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph Neural Networks in Point Clouds: A Survey;Remote Sensing;2024-07-09

2. Research on power generation prediction of hydropower in river basin based on multi-head attention graph convolutional neural network;Journal of Computational Methods in Sciences and Engineering;2024-05-10

3. CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning;IEEE Transactions on Multimedia;2024

4. PU-GAT: Point cloud upsampling with graph attention network;Graphical Models;2023-12

5. Enhancing Voxel-Based Human Pose Classification Using CNN with Modified VGG16 Method;2023 8th International Conference on Information Technology and Digital Applications (ICITDA);2023-11-17
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