Presentation | 2023-11-16 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, Masaya Yago, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | Attention Branch Network / Multi-label Classification / Visual Explanation / Luehdorfia japonica / Local Variation |
Paper # | PRMU2023-27 |
Date of Issue | 2023-11-09 (PRMU) |
Conference Information | |
Committee | PRMU / IPSJ-CVIM / IPSJ-DCC / IPSJ-CGVI |
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Conference Date | 2023/11/16(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Kunio Kashio(NTT) |
Vice Chair | Takuya Funatomi(NAIST) / Go Irie(Tokyo Univ. of Science) |
Secretary | Takuya Funatomi(Tokyo Inst. of Tech.) / Go Irie(Riken) |
Assistant | Kei Shimonishi(Kyoto Univ.) / Kensho Hara(AIST) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media / Special Interest Group on Digital Contents Creation / Special Interest Group on Computer Graphics and Visual Informatics |
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Language | JPN |
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 |
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.) |
Date | 2023-11-16 |
Paper # | PRMU2023-27 |
Volume (vol) | vol.123 |
Number (no) | PRMU-266 |
Page | pp.pp.62-67(PRMU), |
#Pages | 6 |
Date of Issue | 2023-11-09 (PRMU) |