{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216932","sets":["1164:4619:10826:10881"]},"path":["10881"],"owner":"44499","recid":"216932","title":["Deep Cascade Road Extraction Network:a Multi-task Method for Road Extraction"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-03"},"_buckets":{"deposit":"7283c06b-f7b5-4da8-a41f-2c739ae51e87"},"_deposit":{"id":"216932","pid":{"type":"depid","value":"216932","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Deep Cascade Road Extraction Network:a Multi-task Method for Road Extraction","author_link":["561005","561007","561008","561010","561011","561002","561009","561003","561012","561006","561004","561001"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Deep Cascade Road Extraction Network:a Multi-task Method for Road Extraction"},{"subitem_title":"Deep Cascade Road Extraction Network:a Multi-task Method for Road Extraction","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション1-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":"Faculty of Engineering, Waseda University"},{"subitem_text_value":"NTT Network Technologies Laboratories, NTT Corporation"},{"subitem_text_value":"NTT Network Technologies Laboratories, NTT Corporation"},{"subitem_text_value":"NTT Network Technologies Laboratories, NTT Corporation"},{"subitem_text_value":"Japan Aerospace Exploration Agency"},{"subitem_text_value":"Faculty of Engineering, Waseda University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"NTT Network Technologies Laboratories, NTT Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Network Technologies Laboratories, NTT Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Network Technologies Laboratories, NTT Corporation","subitem_text_language":"en"},{"subitem_text_value":"Japan Aerospace Exploration Agency","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Waseda University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/216932/files/IPSJ-CVIM22229001.pdf","label":"IPSJ-CVIM22229001.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM22229001.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"9966007f-c76a-4d38-81ed-02f707481565","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":"Yubo, Wang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Zhao, Wang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuusuke, Nakano"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ken, Nishimatsu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsuya, Hasegawa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Jun, Ohya"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yubo, Wang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Zhao, Wang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuusuke, Nakano","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ken, Nishimatsu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsuya, Hasegawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Jun, Ohya","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":"In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extract accurate road networks from aerial imagery. On the basis of the cascade structure consisting of three subnetworks (Surface Segmentation Network, Edge Detection Network, and Centreline Extraction Network) connected in a cascade manner, we simultaneously achieve the three tasks of the subnetworks for road extraction. Through comparison experiments, our method achieves state-of-the-art results for all the three subtasks. Meanwhile, our model demonstrates strong robustness to occlusions while accurately extracting complex road areas.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extract accurate road networks from aerial imagery. On the basis of the cascade structure consisting of three subnetworks (Surface Segmentation Network, Edge Detection Network, and Centreline Extraction Network) connected in a cascade manner, we simultaneously achieve the three tasks of the subnetworks for road extraction. Through comparison experiments, our method achieves state-of-the-art results for all the three subtasks. Meanwhile, our model demonstrates strong robustness to occlusions while accurately extracting complex road areas.","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":"1","bibliographicVolumeNumber":"2022-CVIM-229"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":216932,"updated":"2025-01-19T15:40:58.422690+00:00","links":{},"created":"2025-01-19T01:17:26.607662+00:00"}