Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning-Reference-Cited by-同舟云学术

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Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning

Published:2024 Issue: Volume:33 Page:3031-3046
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lin Shuyuan¹^ORCID,Chen Xiao¹^ORCID,Xiao Guobao²^ORCID,Wang Hanzi³^ORCID,Huang Feiran¹^ORCID,Weng Jian¹^ORCID

Affiliation:

1. College of Cyber Security/College of Information Science and Technology, Jinan University, Guangzhou, China

2. School of Electronics and Information Engineering, Tongji University, Shanghai, China

3. Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Key Laboratory of Data Security and Privacy Preserving

Guangdong-Hong Kong Joint Laboratory for Data Security and Privacy Preserving

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10508303.pdf?arnumber=10508303

Reference57 articles.

1. Image Matching Across Wide Baselines: From Paper to Practice

2. Image Matching from Handcrafted to Deep Features: A Survey

3. Towards Linear-Time Incremental Structure from Motion

4. Structure-from-Motion Revisited

5. ORB-SLAM: A Versatile and Accurate Monocular SLAM System

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