No-Reference Image Quality Assessment via Multibranch Convolutional Neural Networks-Reference-Cited by-同舟云学术

No-Reference Image Quality Assessment via Multibranch Convolutional Neural Networks

Author:

Pan Zhaoqing¹^ORCID,Yuan Feng¹,Wang Xu²^ORCID,Xu Long³^ORCID,Shao Xiao⁴,Kwong Sam⁵^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China

4. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

5. Department of Computer Science, City University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Natural Science Foundation of Shenzhen City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

Reference50 articles.

1. Pyramidal convolution: Rethinking convolutional neural networks for visual recognition;duta;Proc IEEE Conf Comput Vis Pattern Recognit,0

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