{"created":"2025-01-19T01:44:44.727045+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240513","sets":["1164:2036:11466:11785"]},"path":["11785"],"owner":"44499","recid":"240513","title":["Neural ODEを用いたFPGA向け低コスト点群深層学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-05"},"_buckets":{"deposit":"bb563419-a509-4607-9ad5-1bc91959e036"},"_deposit":{"id":"240513","pid":{"type":"depid","value":"240513","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Neural ODEを用いたFPGA向け低コスト点群深層学習","author_link":["659947","659944","659945","659942","659943","659946"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Neural ODEを用いたFPGA向け低コスト点群深層学習"}]},"item_type_id":"4","publish_date":"2024-11-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶應義塾大学大学院理工学研究科"},{"subitem_text_value":"慶應義塾大学大学院理工学研究科"},{"subitem_text_value":"慶應義塾大学理工学部／慶應義塾大学大学院理工学研究科 "}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Technology, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science and Technology, Keio University / Graduate School of Science and Technology, Keio 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 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圭祐"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松谷, 宏紀"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mizuki, Yasuda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keisuke Sugiura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroki, Matsutani","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11451459","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":"2188-8639","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Neural ODE を用いた FPGA 向けの低コストな点群処理用の深層学習モデルを提案する．エッジデバイス上で点群処理用の深層学習をするとき，ハードウェア性能が制限され，パラメータ数や推論時間が問題になりやすい．そこで，高効率な点群処理用の深層学習モデルである PointMLP に，常微分方程式を利用した近似手法である Neural ODE を応用して，さらにパラメータ数を削減する．Neural ODE は画像処理用のモデルに採用されてきた，連続する残差結合ブロックを 1 つの近似ブロックに置換する手法で，PointMLP の残差結合ブロックにも応用可能である．本論文では，PointMLP の連続する残差結合ブロックを近似ブロックに置換し，PointODE とした．これにより，パラメータ数を PointMLP の 0.37 倍に削減しつつ，精度低下 (OA) を 0.3%～0.9% に抑えた．さらに FPGA に実装しやすいように，PointODE にボトルネック構造を導入したモデル，PointODE-elite も提案する．PointODE-elite は PointODE の 0.12 倍のパラメータ数であり，パラメータ数を大きく削減している． PointODE からの精度低下も 0.1%～0.6% 程度であり，パラメータ数の削減に対して精度低下は小さい．また，PointODE-elite を FPGA に実装するための見積もりで，実行時間を 0.46 倍短縮した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"31","bibliographicVolumeNumber":"2024-SLDM-207"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":240513,"updated":"2025-01-19T07:57:21.835061+00:00","links":{}}