Long-term Visual Map Sparsification with Heterogeneous GNN-Reference-Cited by-同舟云学术

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Long-term Visual Map Sparsification with Heterogeneous GNN

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chang Ming-Fang¹,Zhao Yipu²,Shah Rajvi²,Engel Jakob J.²,Kaess Michael¹,Lucey Simon³

Affiliation:

1. Carnegie Mellon University

2. Meta Reality Labs Research

3. The University of Adelaide

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878820.pdf?arnumber=9878820

Reference31 articles.

1. Heterogeneous Graph Attention Net-work;xiao;World Wide Web,0

2. Inductive Representation Learning on Large Graphs;hamilton;Neural Inform Process Syst,0

3. Semi-Supervised Classification with Graph Convolutional Networks;kipf;Int Conf Learn Represent,0

Cited by 2 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. Multi-Criteria-based Graph Neural Networks for a Medical Emergency Response System;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

2. Efficient Map Sparsification Based on 2D and 3D Discretized Grids;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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