U-Shaped Transformer-Based 360-Degree No Reference Image Quality Assessment-Reference-Cited by-同舟云学术

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U-Shaped Transformer-Based 360-Degree No Reference Image Quality Assessment

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
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Author:

Wei Xuekai¹,Zhou Mingliang²,Kwong Sam³

Affiliation:

1. State Key Laboratory of Internet of Things for Smart City, University of Macau,Department of Electrical and Computer Engineering,Macao,China,999078

2. School of Computer Science, Chongqing University,Chongqing,China,400044

3. City University of Hong Kong,Department of Computer Science,Kowloon,Hong Kong,China,999077

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10101484/10100740/10101609.pdf?arnumber=10101609

Reference21 articles.

1. Assessing Visual Quality of Omnidirectional Videos

2. TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising

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

4. Robust Statistics

5. Transformers in vision: A survey;khan;ACM Computing Surveys (CSUR),2021

Cited by 1 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. Saliency and Depth-aware Full Reference 360-degree Image Quality Assessment;International Journal of Pattern Recognition and Artificial Intelligence;2023-12-08

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