Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment-Reference-Cited by-同舟云学术

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Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment

Published:2020 Issue: Volume:29 Page:4219-4231
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Kim Woojae^ORCID,Nguyen Anh-Duc^ORCID,Lee Sanghoon^ORCID,Bovik Alan Conrad

Funder

Samsung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/08970465.pdf?arnumber=8970465

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Blind image quality assessment based on hierarchical dependency learning and quality aggregation;Neurocomputing;2024-06

3. Full reference image quality assessment based on dual-space multi-feature fusion;Multimedia Systems;2024-05-18

4. Multi-dataset learning with channel modulation loss for blind image quality assessment;Multimedia Tools and Applications;2024-04-01

5. Joint Distortion Restoration and Quality Feature Learning for No-reference Image Quality Assessment;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-27

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