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Paper Abstract and Keywords
Presentation 2022-08-04 10:20
Consideration of the structure of CNN models with high image classification performanc
Mizuki Dai, Kenya Jinno (Tokyo City University) CCS2022-27
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep Learning. However, transformers have problems in terms of model size, memory footprint, and amount of training data required. In contrast, CNN models are lightweight, and their use is important in practical applications. In this study, we investigate the structure of CNN models with high performance from this perspective.
Keyword (in Japanese) (See Japanese page) 
(in English) CNN / CIFAR-10 / image classification / performance prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 145, CCS2022-27, pp. 6-9, Aug. 2022.
Paper # CCS2022-27 
Date of Issue 2022-07-28 (CCS) 
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 CCS2022-27

Conference Information
Committee IN CCS  
Conference Date 2022-08-04 - 2022-08-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University(Centennial Hall) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others 
Paper Information
Registration To CCS 
Conference Code 2022-08-IN-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Consideration of the structure of CNN models with high image classification performanc 
Sub Title (in English)  
Keyword(1) CNN  
Keyword(2) CIFAR-10  
Keyword(3) image classification  
Keyword(4) performance prediction  
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1st Author's Name Mizuki Dai  
1st Author's Affiliation Tokyo City University (Tokyo City University)
2nd Author's Name Kenya Jinno  
2nd Author's Affiliation Tokyo City University (Tokyo City University)
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Speaker Author-1 
Date Time 2022-08-04 10:20:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2022-27 
Volume (vol) vol.122 
Number (no) no.145 
Page pp.6-9 
#Pages 4 
Date of Issue 2022-07-28 (CCS) 

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