Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment-Reference-Cited by-同舟云学术

Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment

Published:2023-09 Issue:3 Volume:69 Page:801-811
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Lan Xuting¹,Zhou Mingliang¹^ORCID,Xu Xueyong²,Wei Xuekai³^ORCID,Liao Xingran⁴^ORCID,Pu Huayan⁵^ORCID,Luo Jun⁵^ORCID,Xiang Tao¹^ORCID,Fang Bin¹^ORCID,Shang Zhaowei¹

Affiliation:

1. School of Computer Science, Chongqing University, Chongqing, China

2. Beidou Application Research and Development Department, North Information Control Research Academy Group Company Ltd., Nanjing, China

3. State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering, University of Macau, Macau, China

4. Computer Science Department, The City University of Hong Kong, Hong Kong, China

5. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

General Program of the National Natural Science Foundation of Chongqing

Fundamental Research Funds for the Central Universities

Human Resources and Social Security Bureau Project of Chongqing

Huawei Project

Suzhou Institute of USTC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject