{"updated":"2025-01-19T09:21:55.968905+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236170","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236170","title":["植物の画像分類における深層学習モデルの精度低下要因"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"81fb1ad3-73f1-4731-9092-817ff74a5ea2"},"_deposit":{"id":"236170","pid":{"type":"depid","value":"236170","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"植物の画像分類における深層学習モデルの精度低下要因","author_link":["645511"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"植物の画像分類における深層学習モデルの精度低下要因"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"文教大"}]},"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/236170/files/IPSJ-Z86-1U-06.pdf","label":"IPSJ-Z86-1U-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1U-06.pdf","filesize":[{"value":"404.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"373e9184-df30-4868-89b9-2db8a4446c4d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"美甘, 直希"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"植物の葉を深層学習モデルを用いて分類する際、一部入力画像に解析精度の低下が見られた。本研究では、入力画像のノイズの有無、葉の状態、類似する葉の形状の有無が解析精度にどの程度の影響を及ぼすかを検証する。また、これらを踏まえ解析精度の低下を抑える手法について提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"668","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"667","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236170,"created":"2025-01-19T01:38:04.505922+00:00"}