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Paper Abstract and Keywords
Presentation 2021-03-03 13:25
Visualization of CNNs using Preferred Stimulus in Receptive Fields
Genta Kobayashi, Hayaru Shouno (UEC) NC2020-47
Abstract (in Japanese) (See Japanese page) 
(in English) Convolutional neural networks have shown high performance at image processing task, and
they are interpreted by various methods.
For instance, there are visualization methods to estimate an input image by maximizing the activation of a neuron.
These methods have the problem that shows various solutions by optimization methods.
Here, we propose a visualization method using the preferred stimulus in the receptive field.
We apply our method to ResNet and PlainNet without skip connection trained on ImageNet.
Consequently, we show the effectiveness and confirm the properties of skip connection.
Keyword (in Japanese) (See Japanese page) 
(in English) Convolutional Neural Network / Receptive Field / Visualization / Preferred Stimulus / Residual Network / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 403, NC2020-47, pp. 25-30, March 2021.
Paper # NC2020-47 
Date of Issue 2021-02-24 (NC) 
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 NC2020-47

Conference Information
Committee NC MBE  
Conference Date 2021-03-03 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neuro Computing, Medical Engineering, etc. 
Paper Information
Registration To NC 
Conference Code 2021-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visualization of CNNs using Preferred Stimulus in Receptive Fields 
Sub Title (in English)  
Keyword(1) Convolutional Neural Network  
Keyword(2) Receptive Field  
Keyword(3) Visualization  
Keyword(4) Preferred Stimulus  
Keyword(5) Residual Network  
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Keyword(7)  
Keyword(8)  
1st Author's Name Genta Kobayashi  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hayaru Shouno  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2021-03-03 13:25:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2020-47 
Volume (vol) vol.120 
Number (no) no.403 
Page pp.25-30 
#Pages
Date of Issue 2021-02-24 (NC) 


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