[2205.03886] Demo: Real-Time Semantic Communications with a Vision Transformer Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Signal Processing arXiv:2205.03886 (eess) [Submitted on 8 May 2022] Title: Demo: Real-Time Semantic Communications with a Vision Transformer Authors: Hanju Yoo , Taehun Jung , Linglong Dai , Songkuk Kim , Chan-Byoung Chae View a PDF of the paper titled Demo: Real-Time Semantic Communications with a Vision Transformer, by Hanju Yoo and 3 other authors View PDF HTML (experimental) Abstract: Semantic communications are expected to enable the more effective delivery of meaning rather than a precise transfer of symbols. In this paper, we propose an end-to-end deep neural network-based architecture for image transmission and demonstrate its feasibility in a real-time wireless channel by implementing a prototype based on a field-programmable gate array (FPGA). We demonstrate that this system outperforms the traditional 256-quadrature amplitude modulation system in the low signal-to-noise ratio regime with the popular CIFAR-10 dataset. To the best of our knowledge, this is the first work that implements and investigates real-time semantic communications with a vision transformer. Subjects: Signal Processing (eess.SP) ; Artificial Intelligence (cs.AI) Cite as: arXiv:2205.03886 [eess.SP] (or arXiv:2205.03886v1 [eess.SP] for this version) https://doi.org/10.48550/arXiv.2205.03886 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1109/ICCWorkshops53468.2022.9914635 Focus to learn more DOI(s) linking to related resources Submission history From: Hanju Yoo [ view email ] [v1] Sun, 8 May 2022 14:49:54 UTC (2,314 KB) Full-text links: Access Paper: View a PDF of the paper titled Demo: Real-Time Semantic Communications with a Vision Transformer, by Hanju Yoo and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: eess.SP < prev | next > new | recent | 2022-05 Change to browse by: cs cs.AI eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from