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Paper Abstract and Keywords
Presentation 2023-11-16 16:50
On Food Plant Classification from Luehdorfia Japonica Images using Multi-label Classification ABN
Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui (Chubu Univ.), Masaya Yago (Tokyo Univ.) PRMU2023-27
Abstract (in Japanese) (See Japanese page) 
(in English) Butterfly is a familiar taxon. Because of the abundance of specimens and the ease of comparison between specimens, regional variation in butterfly spots is well known, which is related to various factors such as geological history, topography, climate, and food plants. In this study, we focus on the relationship between regional variation in butterfly spots and the distribution of food plants, and aim to clarify the relationship by classifying food plants based on images of butterfly spots. Specifically, we will focus on Luehdorfia japonica, a species of butterfly with known geographic variation in butterfly spots and a highly understood distribution. We will create a spotted butterfly image classification dataset based on digital specimens and collection site metadata. We show that the multi-label Attention Branch Netowrk can be trained on the dataset to accurately classify the food plants from the butterfly images, and that the analysis of the attention map provides the same basis for decision-making as the expert knowledge.
Keyword (in Japanese) (See Japanese page) 
(in English) Attention Branch Network / Multi-label Classification / Visual Explanation / Luehdorfia japonica / Local Variation / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 266, PRMU2023-27, pp. 62-67, Nov. 2023.
Paper # PRMU2023-27 
Date of Issue 2023-11-09 (PRMU) 
ISSN Online edition: ISSN 2432-6380
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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 PRMU IPSJ-CVIM IPSJ-DCC IPSJ-CGVI  
Conference Date 2023-11-16 - 2023-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2023-11-PRMU-CVIM-DCC-CGVI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Food Plant Classification from Luehdorfia Japonica Images using Multi-label Classification ABN 
Sub Title (in English)  
Keyword(1) Attention Branch Network  
Keyword(2) Multi-label Classification  
Keyword(3) Visual Explanation  
Keyword(4) Luehdorfia japonica  
Keyword(5) Local Variation  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tsubasa Hirakawa  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Takaaki Arai  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Takayoshi Yamashita  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Hironobu Fujiyoshi  
4th Author's Affiliation Chubu University (Chubu Univ.)
5th Author's Name Yuichi Oba  
5th Author's Affiliation Chubu University (Chubu Univ.)
6th Author's Name Hiromichi Fukui  
6th Author's Affiliation Chubu University (Chubu Univ.)
7th Author's Name Masaya Yago  
7th Author's Affiliation The University Museum, The University of Tokyo (Tokyo Univ.)
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Speaker Author-1 
Date Time 2023-11-16 16:50:00 
Presentation Time 90 minutes 
Registration for PRMU 
Paper # PRMU2023-27 
Volume (vol) vol.123 
Number (no) no.266 
Page pp.62-67 
#Pages
Date of Issue 2023-11-09 (PRMU) 


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