{"updated":"2025-01-19T14:23:41.493116+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220863","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"220863","title":["学習時の注目領域重視度の動的調整による画像分類精度の改善"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"b8bedf6f-5d24-403c-9f9a-f0f1197e58f4"},"_deposit":{"id":"220863","pid":{"type":"depid","value":"220863","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"学習時の注目領域重視度の動的調整による画像分類精度の改善","author_link":["577952","577954","577947","577948","577951","577955","577949","577953","577950"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"学習時の注目領域重視度の動的調整による画像分類精度の改善"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2022-02-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"近畿大"}]},"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/220863/files/IPSJ-Z84-4Q-08.pdf","label":"IPSJ-Z84-4Q-08.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-4Q-08.pdf","filesize":[{"value":"558.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"519e3518-0a41-4cc3-85f3-a4840f4657d7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"舩津, 朋和"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"波部, 斉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"永岡, 隆"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小塚, 健倫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"根本, 充貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 誉大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉田, 久"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木村, 裕一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石井, 一成"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Attention Branch NetworkのようなAttention Mapを学習させるモデルでは，Attention Map の学習と画像分類の学習を同時に行っている．しかし，同時に2種の学習を行っているため，適正な結果が得られずに精度が下がっている場合がある．そこで，損失関数の中でAttention Map の重要度を決める因子を動的に変化させる手法を提案する．提案手法では学習初期では Attention Map を重視しながら学習を進め，その後に画像分類の結果を重視した学習を行う．本論文では，CT画像によりCOVID-19肺炎識別を例にとり，提案手法による学習が効果的に働き，精度が向上することを示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"232","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"231","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:20:53.205747+00:00","id":220863,"links":{}}