Self-Supervised MAFENN for Classifying Low-labeled Distorted Images over Mobile Fading Channels

Author:

Li Yang1ORCID,Sun Fanglei2ORCID,Hu Jingchen3,Liu Chang4,Wu Fan5,Li Kai6,Wen Ying7,Tian Zheng8,Yang Yaodong9ORCID,Zhu Jiangcheng10ORCID,Chen Zhifeng11,Wang Jun12ORCID,Yang Yang13ORCID

Affiliation:

1. Department of Computer Science, the University of Manchester, Manchester, U.K.

2. Department of Computer Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

3. Institute of Mathematical Sciences, Shanghai Tech University, Shanghai, China

4. School of Information Science and Technology and the School of Creativity and Art, ShanghaiTech University, Shanghai, China

5. algorithm engineer, Zhejiang Lab, Hangzhou, China

6. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

7. John Hopcroft Center for Computer Science, Shanghai Jiao Tong University, Shanghai, China

8. School of Creativity and Art, ShanghaiTech University, Shanghai, China

9. Institute for AI, Peking University, Beijing, China

10. Huawei Cloud, HangZhou, China

11. Huawei Technologies Co., Ltd., China

12. Department of Computer Science, University College London, London, U.K.

13. IoT Thrust and the Research Center for Digital World with Intelligent Things at HKUST (Guangzhou), Guangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

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