Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition-Reference-Cited by-同舟云学术

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Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition

Published:2022-09-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
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Author:

Cai Yingfeng¹,Zhao Junqiao¹,Cui Jiafeng²,Zhang Fenglin¹,Feng Tiantian³,Ye Chen¹

Affiliation:

1. Tongji University,School of Electronics and Information Engineering,Department of Computer Science and Technology,Shanghai,China,201804

2. Tongji University,Institute of Intelligent Vehicle,Shanghai,China,201804

3. Tongji University,School of Surveying and Geo-Informatics,Shanghai,China,200092

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9913805/9913839/09913860.pdf?arnumber=9913860

Reference38 articles.

1. SuperGlue: Learning Feature Matching With Graph Neural Networks

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

3. Self-supervised Geometric Perception

4. Dislocation: Scalable descriptor distinctiveness for location recognition;arandjelovi?;Asian Conference on Computer Vision,2014

5. Regional Relation Modeling for Visual Place Recognition

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2. Enhancing Visual Place Recognition with Multi-modal Features and Time-constrained Graph Attention Aggregation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. SVS-VPR: A Semantic Visual and Spatial Information-Based Hierarchical Visual Place Recognition for Autonomous Navigation in Challenging Environmental Conditions;Sensors;2024-01-30

4. Contextual Patch-NetVLAD: Context-Aware Patch Feature Descriptor and Patch Matching Mechanism for Visual Place Recognition;Sensors;2024-01-28

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