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| Presentation | 2023-08-31 15:55 Semantic Communication with Masked Autoencoders: Enhancing Efficiency in Image Transmission Jiale Wu, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC)  CQ2023-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Semantic communication, a promising candidate for 6G technology, has become a research hot spot. However, existing studies tend to focus more on image reconstruction rather than accurately transmitting semantic information at the pixel level. This paper introduces a novel approach using codec-based Masked AutoEncoders (MAE) for efficient image transmission. The proposed system compresses local information into low-dimensional latent vectors, improving system efficiency. We also design a selective module for enhanced image reconstruction and implement Noise Adversarial Training (NAT) to increase the system's resilience to channel noise. Experimental results show that our method effectively improves downstream tasks while preserving image quality. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Semantic Communication / Masked Image Modeling / Generative Models / Deep Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 174, CQ2023-29, pp. 20-25, Aug. 2023. | |
| Paper # | CQ2023-29 | |
| Date of Issue | 2023-08-24 (CQ) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CQ2023-29 |
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| Conference Information | |
| Committee | CQ MIKA |
| Conference Date | 2023-08-31 - 2023-09-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tenjin-Misaki Sports Park |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2023-08-CQ-MIKA |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semantic Communication with Masked Autoencoders: Enhancing Efficiency in Image Transmission |
| Sub Title (in English) | |
| Keyword(1) | Semantic Communication |
| Keyword(2) | Masked Image Modeling |
| Keyword(3) | Generative Models |
| Keyword(4) | Deep Learning |
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| 1st Author's Name | Jiale Wu |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Zhaoyang Du |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
| 3rd Author's Name | Celimuge Wu |
| 3rd Author's Affiliation | The University of Electro-Communications (UEC) |
| 4th Author's Name | Tsutomu Yoshinaga |
| 4th Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2023-08-31 15:55:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2023-29 |
| Volume (vol) | vol.123 |
| Number (no) | no.174 |
| Page | pp.20-25 |
| #Pages | 6 |
| Date of Issue | 2023-08-24 (CQ) |
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