A novel image semantic communication method via dynamic decision generation network and generative adversarial network-Reference-Cited by-同舟云学术

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A novel image semantic communication method via dynamic decision generation network and generative adversarial network

Published:2024-08-23 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Liu Shugang,Peng Zhan,Yu Qiangguo,Duan Linan

Funder

National Engineering Research Center for Mobile Private Networks of Beijing Jiaotong University

Xiangtan Key Science and Technology Achievement Transformation Project

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-70619-9.pdf

Reference38 articles.

1. Shannon, C. E. A mathematical theory of communication. Bell Syst. Tech. J. 27, 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x (1948).

2. Carnap, R. & Bar-Hillel, Y. An outline of a theory of semantic information. Br. J. Philos. Sci. 4, 1 (1953).

3. Bao, J., Basu, P., Dean, M., Partridge, C. & Swami, A. Towards a theory of semantic communication. IEEE. https://doi.org/10.1109/NSW.2011.6004632 (2011).

4. Basu, P., Bao, J., Dean, M. & Hendler, J. Preserving quality of information by using semantic relationships. Pervas. Mob. Comput. 11, 188–202. https://doi.org/10.1016/j.pmcj.2013.07.013 (2014).

5. Kim, S. et al. Fcss: Fully convolutional self-similarity for dense semantic correspondence. IEEE Trans. Pattern Anal. Mach. Intell. https://doi.org/10.1109/TPAMI.2018.2803169 (2017).

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