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Paper Abstract and Keywords
Presentation 2021-12-03 11:20
Open Set Recognition Focusing on Multidimensional Feature Space
Daiju Kanaoka (Kyutech), Yuichiro Tanaka, Hakaru Tamukoh (Kyutech/Kyushu Institute of Technology/Research Center for Neuro) SIS2021-23
Abstract (in Japanese) (See Japanese page) 
(in English) In general, image recognition assumes that all classes used in testing are known. Therefore, when an unknown class is input, it cannot be recognized as unknown. Methods that make this possible are called open set recognition. In this study, we propose an open set recognition method focusing on a multidimensional feature space of the recognition model. The experimental results show that the macro-F1 at MNIST is 0.838, which is better than the state-of-the-art method. We find the potential of a method focusing on multidimensional feature spaces.
Keyword (in Japanese) (See Japanese page) 
(in English) open set recognition / deep learning / unknown class / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 284, SIS2021-23, pp. 11-14, Dec. 2021.
Paper # SIS2021-23 
Date of Issue 2021-11-26 (SIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SIS  
Conference Date 2021-12-03 - 2021-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2021-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Open Set Recognition Focusing on Multidimensional Feature Space 
Sub Title (in English)  
Keyword(1) open set recognition  
Keyword(2) deep learning  
Keyword(3) unknown class  
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1st Author's Name Daiju Kanaoka  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Yuichiro Tanaka  
2nd Author's Affiliation Kyushu Institute of Technology/Research Center for Neuromorphic AI Hardware (Kyutech/Kyushu Institute of Technology/Research Center for Neuro)
3rd Author's Name Hakaru Tamukoh  
3rd Author's Affiliation Kyushu Institute of Technology/Research Center for Neuromorphic AI Hardware (Kyutech/Kyushu Institute of Technology/Research Center for Neuro)
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Speaker Author-1 
Date Time 2021-12-03 11:20:00 
Presentation Time 25 minutes 
Registration for SIS 
Paper # SIS2021-23 
Volume (vol) vol.121 
Number (no) no.284 
Page pp.11-14 
#Pages
Date of Issue 2021-11-26 (SIS) 


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