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Paper Abstract and Keywords
Presentation 2019-03-06 09:55
A study of inner feature continuity of the VGG model
Toya Teramoto, Hyaru Shouno (UEC) NC2018-88
Abstract (in Japanese) (See Japanese page) 
(in English) Deep Convolutional Neural Network (DCNN) is a successful model in the field of computer vision such like image classification and segmentation and so on.
DCNN is a hierarchical neural network model based on Neocognitron, which is inspired from mammalian visual sysytem.
There is a VGG model as a popular architecture of DCNN.The VGG block is simple module that performs pooling processing after repeating convolutional layer.
Suzuki & Shouno shows an analysis of a DCNN architecture called Network in Network (NIN). They sorted the feature map along the weight strength and found similar feature representation is tend to gather. In this study, we apply their method into the VGG network.We focus the convolution layers in VGG block which can be regarded as a extension of NIN block, so that we analyze the VGG block in the same manner with Suzuki & Shouno.
As a result, it was found that multiple convolution processes in the VGG block work to accumulate filters that respond to similar features, and are related to azimuth creativity in the visual cortex.
These results suggest that the biological structure is useful for pattern recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) DCNN / Neocognitron / VGG / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 470, NC2018-88, pp. 239-244, March 2019.
Paper # NC2018-88 
Date of Issue 2019-02-25 (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 NC2018-88

Conference Information
Committee NC MBE  
Conference Date 2019-03-04 - 2019-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Electro Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2019-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study of inner feature continuity of the VGG model 
Sub Title (in English)  
Keyword(1) DCNN  
Keyword(2) Neocognitron  
Keyword(3) VGG  
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1st Author's Name Toya Teramoto  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Hyaru Shouno  
2nd Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2019-03-06 09:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2018-88 
Volume (vol) vol.118 
Number (no) no.470 
Page pp.239-244 
#Pages 6 
Date of Issue 2019-02-25 (NC) 

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