Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception-Reference-Cited by-同舟云学术

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Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Gao Peng¹,Zhu Qingzhao²,Lu Hongsheng³,Gan Chuang⁴,Zhang Hao⁵

Affiliation:

1. University of Maryland,Department of Computer Science,College Park,MD,USA,20742

2. Colorado School of Mines,Department of Computer Science,Golden,CO,USA,80401

3. Toyota Motor North America,Mountain View,CA,USA,94043

4. MIT-IBM Watson AI Lab,Cambridge,MA,USA,02142

5. Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst,Amherst,MA,USA,01002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161231.pdf?arnumber=10161231

Reference46 articles.

1. SuperGlue: Learning Feature Matching With Graph Neural Networks

2. Discrete Tabu Search for Graph Matching

3. Unsupervised person reidentification by deep asymmetric metric embedding;yu;TPAMI,2018

4. Efficient variants of the ICP algorithm

5. Correspondence identification for collaborative multi-robot perception under uncertainty

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. CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments;IEEE Robotics and Automation Letters;2024-07

2. Learning Agents in Robot Navigation: Trends and Next Challenges;Journal of Robotics and Mechatronics;2024-06-20

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