PGFNet: Preference-Guided Filtering Network for Two-View Correspondence Learning-Reference-Cited by-同舟云学术

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PGFNet: Preference-Guided Filtering Network for Two-View Correspondence Learning

Published:2023 Issue: Volume:32 Page:1367-1378
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Liu Xin¹^ORCID,Xiao Guobao¹^ORCID,Chen Riqing²^ORCID,Ma Jiayi³^ORCID

Affiliation:

1. College of Computer and Control Engineering, Minjiang University, Fuzhou, China

2. College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, China

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

Funder

National Natural Science Foundation of China

Fujian University Industry University Research Joint Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10041834.pdf?arnumber=10041834

Reference38 articles.

1. ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

3. Learnable Motion Coherence for Correspondence Pruning

4. Dual Attention Network for Scene Segmentation

5. MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

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