Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution-Reference-Cited by-同舟云学术

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Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution

Published:2023-02-27 Issue:8 Volume:14 Page:2793-2813
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Guo Lili,Wang Yanru,Wang Fanchao,Ding Ling,Ding Shifei^ORCID

Funder

the National Natural Science Foundations of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-01799-5.pdf

Reference37 articles.

1. Szegedy C, Vanhoucke V, Ioffe S, et al (2016) Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on computer vision and pattern recognition, pp 2818–2826

2. Lei S, Shi Z, Zou Z (2019) Coupled adversarial training for remote sensing image super-resolution. IEEE Trans Geosci Remote Sens 58(5):3633–3643

3. Zhu J, Zeng H, Huang J et al (2019) Vehicle re-identification using quadruple directional deep learning features. IEEE Trans Intell Transp Syst 21(1):410–420

4. Chen J, Chen J, Wang Z et al (2020) Identity-aware face super-resolution for low-resolution face recognition. IEEE Signal Process Lett 27:645–649

5. Goyal B, Dogra A, Agrawal S et al (2020) Image denoising review: From classical to state-of-the-art approaches. Inform fusion 55:220–244

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. Deep CNN with Dense and Many-to-Many Connections for Image Super-Resolution;2023 International Conference on Cyber-Physical Social Intelligence (ICCSI);2023-10-20

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