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Paper Abstract and Keywords
Presentation 2016-09-05 16:15
The Validity of Network In Network as a Visual System -- From the Point of View of the Orientation Selectivity Map --
Satoshi Suzuki, Hayaru Shouno (UEC) PRMU2016-68 IBISML2016-23
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, Deep Convolutional Neural Network (DCNN) has shown excellent performance in image recognition field. DCNN is one of the multi-layer neural networks, which can automatically obtain feature representation from data. Neocognitron is the prototype of DCNN, which was proposed by Fukushima in early 80's. It is inspired by the hierarchical structure in the 18 field of cat brain which corresponds to the initial visual cortex.On the other hand, Network In Network (NIN) method was proposed by Lin et al.. NIN technology has shown state-of-the-art performance in many image recognition task. However, discussion of the physiological relationship of NIN and DCNN which is brain inspired model was insufficient. In this work, we make the filters that are created by NIN, and show that these filters have the same function as the orientation selectivity in the early visual cortex.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Convolutional Neural Network / Network In Network / Orientation Selectivity Map / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 209, IBISML2016-23, pp. 113-120, Sept. 2016.
Paper # IBISML2016-23 
Date of Issue 2016-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU2016-68 IBISML2016-23

Conference Information
Committee PRMU IPSJ-CVIM IBISML  
Conference Date 2016-09-05 - 2016-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IBISML 
Conference Code 2016-09-PRMU-CVIM-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Validity of Network In Network as a Visual System 
Sub Title (in English) From the Point of View of the Orientation Selectivity Map 
Keyword(1) Deep Convolutional Neural Network  
Keyword(2) Network In Network  
Keyword(3) Orientation Selectivity Map  
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1st Author's Name Satoshi Suzuki  
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 2016-09-05 16:15:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # PRMU2016-68, IBISML2016-23 
Volume (vol) vol.116 
Number (no) no.208(PRMU), no.209(IBISML) 
Page pp.113-120 
#Pages 8 
Date of Issue 2016-08-29 (PRMU, IBISML) 

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