Presentation 2022-03-10
Few-shot fine-grained image recognition by transfer-leaning using knowledge graph
Ryusei Taniguchi, Naoko Nitta, Kazuaki Nakamura, Noboru babaguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
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Paper # PRMU2021-65
Date of Issue 2022-03-03 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
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Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.)
Secretary Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.)
Assistant Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Few-shot fine-grained image recognition by transfer-leaning using knowledge graph
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
Keyword(5)
1st Author's Name Ryusei Taniguchi
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Naoko Nitta
2nd Author's Affiliation Osaka University(Osaka Univ.)
3rd Author's Name Kazuaki Nakamura
3rd Author's Affiliation Tokyo University of Science(TUS)
4th Author's Name Noboru babaguchi
4th Author's Affiliation Osaka University(Osaka Univ.)
Date 2022-03-10
Paper # PRMU2021-65
Volume (vol) vol.121
Number (no) PRMU-427
Page pp.pp.31-36(PRMU),
#Pages 6
Date of Issue 2022-03-03 (PRMU)