Corpus ID: 160009486

GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud

@article{Chen2019GAPNetGA,
  title={GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud},
  author={C. Chen and L. Z. Fragonara and A. Tsourdos},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.08705}
}

C. Chen, L. Z. Fragonara, A. Tsourdos

Published 2019

Computer Science

ArXiv

Exploiting fine-grained semantic features on point cloud is still challenging due to its irregular and sparse structure in a non-Euclidean space. [...] Key Method Firstly, we introduce a GAPLayer to learn attention features for each point by highlighting different attention weights on neighborhood. Secondly, in order to exploit sufficient features, a multi-head mechanism is employed to allow GAPLayer to aggregate different features from independent heads.Expand Abstract

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed