MC-Net: Integrating Multi-Level Geometric Context for Two-View Correspondence Learning-Reference-Cited by-同舟云学术

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MC-Net: Integrating Multi-Level Geometric Context for Two-View Correspondence Learning

Published:2024-08 Issue:8 Volume:34 Page:7550-7565
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Zizhuo¹^ORCID,Su Chunbao¹^ORCID,Fan Fan¹^ORCID,Huang Jun¹^ORCID,Ma Jiayi¹^ORCID

Affiliation:

1. Electronic Information School, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province, China

Industry- University-Research Cooperation Program of Zhuhai, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10634006/10463087.pdf?arnumber=10463087

Reference67 articles.

1. Structure-from-Motion Revisited

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

3. VcT: Visual Change Transformer for Remote Sensing Image Change Detection

4. Large-Scale Image Retrieval with Attentive Deep Local Features

5. Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images

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