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Paper Abstract and Keywords
Presentation 2023-12-20 16:25
Anomaly detection by deep support data descriptions with pseudo-anomaly data
Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college) IBISML2023-34
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents deep support vector data description (DSVDD) with pseudo-anomaly data that generated by generative models. Our method is to improve generalization ability. First, we generate mask images from normal images. Next, using normal and mask images, we train generative adversarial network (GAN) or variational autoencoder (VAE), which generate the pseudo-anomaly data. Using the normal and pseudo-anomaly data, we determines the hypersphere by DSVDD. We evaluate the effectiveness of the proposed methods over the conventional methods with the MVTecAD datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) generative adversarial network / deep support vector data description / pseudo-anomaly data / variational autoencoder / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 311, IBISML2023-34, pp. 25-30, Dec. 2023.
Paper # IBISML2023-34 
Date of Issue 2023-12-13 (IBISML) 
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 IBISML2023-34

Conference Information
Committee IBISML  
Conference Date 2023-12-20 - 2023-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English) machine learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2023-12-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Anomaly detection by deep support data descriptions with pseudo-anomaly data 
Sub Title (in English)  
Keyword(1) generative adversarial network  
Keyword(2) deep support vector data description  
Keyword(3) pseudo-anomaly data  
Keyword(4) variational autoencoder  
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1st Author's Name Shuta Tsuchio  
1st Author's Affiliation National Institute of Technology, Toyama College (NIT, Toyama college)
2nd Author's Name Takuya Kitamura  
2nd Author's Affiliation National Institute of Technology, Toyama College (NIT, Toyama college)
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Speaker Author-1 
Date Time 2023-12-20 16:25:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2023-34 
Volume (vol) vol.123 
Number (no) no.311 
Page pp.25-30 
#Pages 6 
Date of Issue 2023-12-13 (IBISML) 

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