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Paper Abstract and Keywords
Presentation 2021-01-19 11:45
Image Evaluation Using Multiple CNNs for Filtering GAN-output Images
Kizuku Aiba, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2020-53
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, AI technologies have been utilized and researched in various situations. The famous examples have Softbank's "Pepper" and the cleaning robot "Roomba". In addition, a lot of researches on Image Classification and Image Generation are being actively conducted. Especially, the technology to generate images is in great demand for those who cannot draw or who cannot spend time drawing. Therefore, this paper focuses on "GAN" that is an AI specialized in image generation, and analyzes the problems and issues of GAN-output images. Moreover, as a solution of the problem that it is necessary to display all outputs of GAN and evaluate them each time until the images that a user wants are output, this paper proposes a method to assign GAN-output images with "priority" for display. Furthermore, this paper aims to develop a system for efficiently filtering of the images that a user wants by making image evaluation for eliminating half-finished images that have a distorted shape unique to GAN-outputs and proposing unique filtering such as selecting exclusion targets using image recognition results of image recognition of multiple CNNs.
Keyword (in Japanese) (See Japanese page) 
(in English) GAN / CNN / Image Filtering / Image Evaluation / Request Analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 311, IN2020-53, pp. 55-60, Jan. 2021.
Paper # IN2020-53 
Date of Issue 2021-01-11 (IN) 
ISSN Print edition: ISSN 0913-5685  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)
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Conference Information
Committee IN  
Conference Date 2021-01-18 - 2021-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2021-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Evaluation Using Multiple CNNs for Filtering GAN-output Images 
Sub Title (in English)  
Keyword(1) GAN  
Keyword(2) CNN  
Keyword(3) Image Filtering  
Keyword(4) Image Evaluation  
Keyword(5) Request Analysis  
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1st Author's Name Kizuku Aiba  
1st Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
2nd Author's Name Komei Arasawa  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
3rd Author's Name Shun Hattori  
3rd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
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Speaker Author-1 
Date Time 2021-01-19 11:45:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2020-53 
Volume (vol) vol.120 
Number (no) no.311 
Page pp.55-60 
#Pages
Date of Issue 2021-01-11 (IN) 


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