{"links":{},"id":235899,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235899","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235899","title":["物体検出のためのバックボーンとしての再帰ニューラルネットワーク"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"05a5f355-0382-419f-b81b-7463742c6faf"},"_deposit":{"id":"235899","pid":{"type":"depid","value":"235899","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"物体検出のためのバックボーンとしての再帰ニューラルネットワーク","author_link":["644665","644664"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"物体検出のためのバックボーンとしての再帰ニューラルネットワーク"}]},"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":"2024-03-01","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":"立教大"},{"subitem_text_value":"立教大"}]},"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/235899/files/IPSJ-Z86-7C-03.pdf","label":"IPSJ-Z86-7C-03.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-7C-03.pdf","filesize":[{"value":"175.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"619501db-3cde-4851-9ac8-3016aeec26b0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"立浪, 祐貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"瀧, 雅人"}],"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":"近年、再帰ニューラルネットワークが2次元の画像認識にも利用できることが知られている。代表的なアーキテクチャであるSequencerはResNetのような4ステージの階層構造を持っておらず、その結果、一般的なRetinaNetなどの物体検出モデルのバックボーンに採用しても精度が出ない。本研究では、その問題を解決するために、Rotational Sequencerを提案する。画像分類でSequencerよりも高い精度を達成するだけでなく、RetinaNetのような物体検出モデルのバックボーンとしても十分な精度を達成している。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"106","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"105","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:37:39.117951+00:00","updated":"2025-01-19T09:28:27.455655+00:00"}