Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment-Reference-Cited by-同舟云学术

Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Fu Jun¹,Hou Chen¹,Zhou Wei²,Xu Jiahua¹,Chen Zhibo¹

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. University of Waterloo, Waterloo, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548337

Reference43 articles.

1. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

2. Spherical Structural Similarity Index for Objective Omnidirectional Video Quality Assessment

3. ImageNet: A large-scale hierarchical image database

4. Perceptual Quality Assessment of Omnidirectional Images

5. Facebook. [n.d.]. Quality assessment of 360 video view sessions. ( [n. d.]). https://engineering.fb.com/video-engineering/quality-assessment-of-360-video-view-sessions/ Facebook. [n.d.]. Quality assessment of 360 video view sessions. ( [n. d.]). https://engineering.fb.com/video-engineering/quality-assessment-of-360-video-view-sessions/

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