Learning Task-Aligned Local Features for Visual Localization-Reference-Cited by-同舟云学术

Learning Task-Aligned Local Features for Visual Localization

Published:2023-06 Issue:6 Volume:8 Page:3366-3373
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Liu Chuanjin¹^ORCID,Liu Hongmin¹^ORCID,Zhang Lixin¹^ORCID,Zeng Hui¹^ORCID,Luo Lufeng²^ORCID,Fan Bin¹^ORCID

Affiliation:

1. School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing, China

2. School of Mechatronic Engineering and Automation, Foshan University, Foshan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Fundamental Research Funds for the Central Universities

University Synergy Innovation Program of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10102643/10103591.pdf?arnumber=10103591

Reference50 articles.

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2. R2D2: Repeatable and reliable detector and descriptor;revaud;Proc Adv Neural Inf Process Syst,0

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4. ASLFeat: Learning Local Features of Accurate Shape and Localization

5. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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