{"id":209805,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209805","sets":["1164:4619:10416:10532"]},"path":["10532"],"owner":"44499","recid":"209805","title":["拡張型Attention機構を導入した顕著物体検出と画像合成への応用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-25"},"_buckets":{"deposit":"12e6ba7d-13fe-46b0-8dbd-d13101d8038a"},"_deposit":{"id":"209805","pid":{"type":"depid","value":"209805","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"拡張型Attention機構を導入した顕著物体検出と画像合成への応用","author_link":["529914","529913","529911","529912"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"拡張型Attention機構を導入した顕著物体検出と画像合成への応用"},{"subitem_title":"Saliency Detection by Extended Attention and its Application to Image Synthesis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション1-2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-02-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"豊橋技術科学大学博士前期課程情報・知能工学専攻"},{"subitem_text_value":"豊橋技術科学大学情報・知能工学系"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Computer Science and Engineering, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science and Engineering,Toyohashi University of Technology","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/209805/files/IPSJ-CVIM21225007.pdf","label":"IPSJ-CVIM21225007.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM21225007.pdf","filesize":[{"value":"4.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"a40e13ef-37e0-4651-8265-c7b523045fa4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山内, 良介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"青野, 雅樹"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryosuke, Yamauchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaki, Aono","creatorNameLang":"en"}],"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":"近年，コンテンツ画像の物体構造とスタイル画像の画風を併せ持った合成画像を生成するタスクであるスタイル変換と，画像から前景を抽出して背景と分離するタスクである顕著物体検出の研究が盛んに行われている．本研究ではスタイル変換と顕著物体検出の 2 つのタスクに着目して，それらを組合わせた画像合成を検討することを目的とし，スタイル変換と顕著物体検出において拡張型 Attention 機構に基づく新たな手法を提案する．スタイル変換および顕著物体検出それぞれで比較実験を行った結果，提案手法は従来手法よりも優れていることが示されたのでこれ を報告する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, there has been much research on Style Transfer and Saliency Detection. Style Transfer is a task to synthesize an image that has both the object structure of the content image and the touch of the style image, while Saliency Detection is a task to extract the foreground from the image and separate it from the background. In this research, we focus on the two tasks of Style Transfer and Saliency Detection, and propose new methods based on the Extended Attention in Style Transfer and Saliency Detection, respectively. Comparative experiments of Style Transfer and Saliency Detection have been carried out. It turns out that our proposed methods outperform the conventional methods.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","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":"2021-02-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2021-CVIM-225"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:23:04.135410+00:00","created":"2025-01-19T01:11:05.478121+00:00","links":{}}