No-Reference Image Quality Assessment: An Attention Driven Approach-Reference-Cited by-同舟云学术

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No-Reference Image Quality Assessment: An Attention Driven Approach

Published:2020 Issue: Volume:29 Page:6496-6506
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Chen Diqi^ORCID,Wang Yizhou^ORCID,Gao Wen

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/09088237.pdf?arnumber=9088237

Cited by 29 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

1. Deep Blind Image Quality Assessment Using Dynamic Neural Model With Dual-Order Statistics;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

2. No-Reference Image Quality Assessment Based on Machine Learning and Outlier Entropy Samples;Pattern Recognition and Image Analysis;2024-06

3. METER: Multi-task efficient transformer for no-reference image quality assessment;Applied Intelligence;2023-11-06

4. SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest;Computer Vision and Image Understanding;2023-07

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