{"id":236125,"updated":"2025-01-19T09:23:04.845427+00:00","links":{},"created":"2025-01-19T01:38:00.328224+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236125","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236125","title":["β-VAEGANを用いた異常検知のための疑似異常データの生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"6db85ff0-3298-4f26-a0e3-71e78508ec95"},"_deposit":{"id":"236125","pid":{"type":"depid","value":"236125","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"β-VAEGANを用いた異常検知のための疑似異常データの生成","author_link":["645326","645327"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"β-VAEGANを用いた異常検知のための疑似異常データの生成"}]},"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":"名工大"},{"subitem_text_value":"名工大"}]},"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/236125/files/IPSJ-Z86-2T-03.pdf","label":"IPSJ-Z86-2T-03.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-2T-03.pdf","filesize":[{"value":"411.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"6d10ec91-a147-4857-917e-61227f4d2d9b","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":"秋田, 行輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田口, 亮"}],"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":"工業製品等の生産効率を向上させるためには、製造工程における外観検査の自動化が重要である。しかし、AIによる外観検査の精度向上には大量の学習データが必要となり、データの収集やアノテーションに多大なコストがかかる。この問題の解決策の1つとして、正常データや少量の異常データのみから疑似的な異常データを生成するというものがある。本研究では、β-VAEGANに条件制約を加えることで画像上の特定の特徴と潜在空間の特定次元の紐づけを明示的に行い、潜在変数を介して異常の度合いを含む画像上の特徴をコントロールしながら疑似異常画像を生成する手法を提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"578","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"577","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}