{"created":"2025-01-19T01:17:29.239847+00:00","updated":"2025-01-19T15:40:09.014547+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216977","sets":["1164:4619:10826:10881"]},"path":["10881"],"owner":"44499","recid":"216977","title":["空間アテンションと並列畳み込みを使用したリアルタイムセグメンテーション手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-03"},"_buckets":{"deposit":"921272a0-5a75-467a-8d9f-336eda4ffe07"},"_deposit":{"id":"216977","pid":{"type":"depid","value":"216977","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"空間アテンションと並列畳み込みを使用したリアルタイムセグメンテーション手法","author_link":["561214","561216","561215","561217"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"空間アテンションと並列畳み込みを使用したリアルタイムセグメンテーション手法"},{"subitem_title":"Real-Time Segmentation using Spatial Attention and Parallel Convolution","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション7-A ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-03-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"豊橋技術科学大学"},{"subitem_text_value":"豊橋技術科学大学"}]},"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":"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/216977/files/IPSJ-CVIM22229046.pdf","label":"IPSJ-CVIM22229046.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM22229046.pdf","filesize":[{"value":"3.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"12436724-2601-420e-bdf7-c65dff095043","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 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":"杉本, 裕基"}],"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":"Yuki, Sugimoto","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":"セマンティックセグメンテーションは画像内の全ての物体と背景をピクセル単位でクラス分類を行う画像認識技術である．これは主に，自動運転や工業用検査などに応用されるが，そこでは精度だけでなくリアルタイム性も求められる．そのため，リアルタイム性と精度を両立する必要がある．本研究ではリアルタイム性を保った精度向上を目的に，空間アテンションを用いたモジュールと，並列に畳み込む構造を持ったモジュールの 2 つを DDRNet-23-slim に追加した DDRNet-23-slim-parallel を提案する．Cityscapes データセットを使用して提案手法と DDRNet-23-slim を比較した結果，提案手法がリアルタイム性を保持しつつ，精度を向上させる手法であることが示された．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Semantic segmentation is an image recognition  technique  that classifies  all objects  and backgrounds by pixel in images. This method is mainly applied to such fields as autonomous driving. However, it requires not only accuracy but also real-timeliness. Therefore, it is necessary to achieve both real-timeliness and accuracy. In this paper, We propose DDRNet-23-slim-parallel, which is a method that combines DDRNet- 23-slim with two additional modules, one with spatial attention  and the other with parallel convolutional structure. We have compared the proposed method with DDRNet-23-slim using the Cityscapes dataset. As a result, it was shown that the proposed method has good trade-off between accuracy and real-time performance.","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":"2022-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"46","bibliographicVolumeNumber":"2022-CVIM-229"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":216977,"links":{}}