{"id":234922,"updated":"2025-01-19T09:40:12.199810+00:00","links":{},"created":"2025-01-19T01:36:49.327576+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234922","sets":["1164:2735:11468:11669"]},"path":["11669"],"owner":"44499","recid":"234922","title":["段階的に成長するSparseNet"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-13"},"_buckets":{"deposit":"fe2ed7a8-3eb8-489f-9d31-3972164d8dfe"},"_deposit":{"id":"234922","pid":{"type":"depid","value":"234922","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"段階的に成長するSparseNet","author_link":["641133","641131","641132","641135","641134","641130"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"段階的に成長するSparseNet"},{"subitem_title":"Gradually Growing SparseNet","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ニューロコンピューティング1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-06-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本大学大学院生産工学研究科"},{"subitem_text_value":"日本大学大学院生産工学研究科"},{"subitem_text_value":"日本大学生産工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Industrial Technology, Nihon University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Industrial Technology, Nihon University","subitem_text_language":"en"},{"subitem_text_value":"College of Industrial Technology, Nihon University","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/234922/files/IPSJ-MPS24148035.pdf","label":"IPSJ-MPS24148035.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS24148035.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"31a94d1d-0b55-41d1-98d8-182e4ba6937c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 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":"中村, 匠海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"種田, 祥吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山内, ゆかり"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takumi, Nnakamura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shogo, Taneda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yukari, Yamauchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Gao Huang らは，先行する全ての層の特徴マップを入力とする Dense Convolutional Network (DenseNet) を提案した．Wenqi Liu らは DenseNet の入力とする特徴マップ数を sparse 化し計算量を削減する，Sparse DenseNet (SparseNet)を提案した．さらに，各ブロックの層数を段階的に増加させることで，計算量の削減と精度の向上を達成した．これらのモデルでは，一層が新たに生み出すマップ数を成長率と呼んだ．本研究では，成長率を段階的に増加させ，path も増加していくようなネットワークにする．これにより SparseNet の更なる計算量削減と精度の向上を狙う．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Gao Huang et al. proposed a Dense Convolutional Network (DenseNet) that takes the feature maps of all previous layers as input. Wenqi Liu et al. proposed Sparse DenseNet (SparseNet), which reduces the skip connections and number of feature maps from DenseNet. Furthermore, by increasing the number of layers in each block in stages, SparseNet achieved a reduction of the computation costs and improved accuracy. In these models, the number of new maps produced by a layer was called the growth rate. In this research, we propose a network model in which the growth rate and the number of paths increases gradually. Through this, we aim to further reduce calculation and improve the accuracy of SparseNet.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"35","bibliographicVolumeNumber":"2024-MPS-148"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}