Prior based Pyramid Residual Clique Network for human body image super-resolution-Reference-Cited by-同舟云学术

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Prior based Pyramid Residual Clique Network for human body image super-resolution

Published:2024-06 Issue: Volume:150 Page:110352
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Simiao,Sang Yu,Liu Yunan,Wang Chunpeng,Lu Mingyu,Sun Jinguang

Funder

Department of Education of Liaoning Province

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Reference48 articles.

1. Y. Liu, L. Zhao, S. Zhang, J. Yang, Hybrid resolution network using edge guided region mutual information loss for human parsing, in: ACM International Conference on Multimedia, 2020, pp. 1670–1678.

2. Y. Liu, S. Zhang, J. Yang, P. Yuen, Hierarchical information passing based noise-tolerant hybrid learning for semi-supervised human parsing, in: AAAI Conference on Artificial Intelligence, 2021, pp. 2207–2215.

3. Learning hybrid ranking representation for person re-identification;Wu;Pattern Recognit.,2022

4. Y. Zhang, Y. Tian, Y. Kong, B. Zhong, Y. Fu, Residual dense network for image super-resolution, in: IEEE Confefence on Computer Vision and Pattern Recognition, 2018, pp. 2472–2481.

5. Y. Zhang, K. Li, K. Li, L. Wang, B. Zhong, Y. Fu, Image super-resolution using very deep residual channel attention networks, in: European Conference on Computer Vision, 2018, pp. 294–310.

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