{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00204467","sets":["1164:4619:10081:10200"]},"path":["10200"],"owner":"44499","recid":"204467","title":["Self-supervised Learningを用いた画像からの単子葉植物の分げつ数推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-05-07"},"_buckets":{"deposit":"239e4177-574d-4657-ac90-7fd31555245a"},"_deposit":{"id":"204467","pid":{"type":"depid","value":"204467","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Self-supervised Learningを用いた画像からの単子葉植物の分げつ数推定","author_link":["506357","506355","506356","506358"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Self-supervised Learningを用いた画像からの単子葉植物の分げつ数推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"卒論スポットライトセッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2020-05-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪府立大学大学院工学研究科知能情報工学分野"},{"subitem_text_value":"大阪府立大学大学院工学研究科知能情報工学分野"},{"subitem_text_value":"大阪府立大学大学院工学研究科知能情報工学分野"},{"subitem_text_value":"大阪府立大学大学院工学研究科知能情報工学分野"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"},{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"},{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"},{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/204467/files/IPSJ-CVIM20222035.pdf","label":"IPSJ-CVIM20222035.pdf"},"date":[{"dateType":"Available","dateValue":"2022-05-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM20222035.pdf","filesize":[{"value":"8.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3844c76e-ba69-4be8-9cdf-ab9f4add7396","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"黄瀬, 陸哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内海, ゆづ子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩村, 雅一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"黄瀬, 浩一"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"単子葉植物における収穫量の指標の 1 つである分げつ数を計測することは，労働集約的である，破壊調査を伴うといった問題がある．この問題に対して，従来研究では，self-supervised learning (SSL) を用いることで，deep neural network に基づく画像からの分げつ数推定を実現している．しかし，この手法の実験では，成長度合いによって背景の映り方が異なるデータセットを使用しており，植物形状以外の情報を用いて分げつ数の推定をしている可能性がある．本研究では，画像中に植物形状の情報のみが含まれるようデータセットを正規化し，SSL を用いた手法の有効性を検証した．実験の結果，SSL を用いた分げつ数の推定手法は正規化したデータセットにおいても有効であることがわかった．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2020-05-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"35","bibliographicVolumeNumber":"2020-CVIM-222"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":204467,"updated":"2025-01-19T20:11:26.762688+00:00","links":{},"created":"2025-01-19T01:06:44.361112+00:00"}