Nonlinear Transform Source-Channel Coding for Semantic Communications-Reference-Cited by-同舟云学术

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Nonlinear Transform Source-Channel Coding for Semantic Communications

Published:2022-08 Issue:8 Volume:40 Page:2300-2316
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Dai Jincheng¹^ORCID,Wang Sixian¹^ORCID,Tan Kailin¹,Si Zhongwei¹^ORCID,Qin Xiaoqi²^ORCID,Niu Kai¹^ORCID,Zhang Ping²^ORCID

Affiliation:

1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Major Key Project of PCL

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9830856/09791398.pdf?arnumber=9791398

Reference45 articles.

1. The Open Images Dataset V4

2. Exploring the limits of transfer learning with a unified text-to-text transformer;raffel;J Mach Learn Res,2020

3. Layer normalization;lei ba;arXiv 1607 06450,2016

4. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

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