Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition-Reference-Cited by-同舟云学术

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Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition

Published:2024-05-13 Issue: Volume:32 Page:4006-4012
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Xu Zhenyu¹,Ren Ziliang²,Zhang Qieshi¹,Lou Jie³,Tao Dacheng⁴,Cheng Jun¹

Affiliation:

1. Chinese Academy of Sciences,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology,Shenzhen,China

2. Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China

3. China Nuclear Power Operations Co., Ltd.,Shenzhen,China

4. Nanyang Technological University,Singapore

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Engineering Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610372.pdf?arnumber=10610372

Reference42 articles.

1. Visual place recognition: A survey from deep learning perspective

2. Visual Place Recognition: A Survey

3. Where Is Your Place, Visual Place Recognition?

4. Distilled representation using patch-based local-to-global similarity strategy for visual place recognition

5. Deep Residual Learning for Image Recognition

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