Perception-Oriented U-Shaped Transformer Network for 360-Degree No-Reference Image Quality Assessment-Reference-Cited by-同舟云学术

Perception-Oriented U-Shaped Transformer Network for 360-Degree No-Reference Image Quality Assessment

Published:2023-06 Issue:2 Volume:69 Page:396-405
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Zhou Mingliang¹^ORCID,Chen Lei¹,Wei Xuekai¹^ORCID,Liao Xingran²^ORCID,Mao Qin³,Wang Heqiang¹,Pu Huayan⁴^ORCID,Luo Jun⁴^ORCID,Xiang Tao¹^ORCID,Fang Bin¹^ORCID

Affiliation:

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

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

3. College of Computer and Information, Qiannan Normal College Nationalities, Duyun, China

4. 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

Youth Project of Guizhou Education Department

University-Level Scientific Research Projects

Guizhou Provincial Education Department Young Science and Technology Talents Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/11/10145807/10005862.pdf?arnumber=10005862

Reference67 articles.

1. Multimodality in VR: A Survey

2. Viewing Behavior Supported Visual Saliency Predictor for 360 degree Videos

3. Spherical DNNs and Their Applications in 360$^\circ$ Images and Videos

4. A Weakly Supervised Adaptive Triplet Loss for Deep Metric Learning

5. Spatial Attention-Based Non-Reference Perceptual Quality Prediction Network for Omnidirectional Images

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