{"created":"2024-06-13T01:24:39.203743+00:00","id":2000766,"links":{},"metadata":{"_buckets":{"deposit":"d399266d-7897-414b-86c9-db7ee2860af5"},"_deposit":{"created_by":14,"id":"2000766","owner":"14","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"2000766"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:02000766","sets":["8:24"]},"author_link":["25036"],"control_number":"2000766","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-05-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageStart":"592","bibliographicVolumeNumber":"5","bibliographic_titles":[{"bibliographic_title":"SN Computer Science","bibliographic_titleLang":"en"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The external attention mechanism offers a promising approach to enhance image anomaly detection (Hayakawa et al., in: IMPROVE, pp. 100-–110, 2023). Nevertheless, the effectiveness of this method is contingent upon the judicious selection of an intermediate layer with external attention. In this study, we performed a comprehensive series of experiments to clarify the mechanisms through which external attention improves detection performance. We assessed the performance of the LEA-Net (Hayakawa et al., in: IMPROVE, pp. 100–110, 2023), which implements layer-wise external attention, using MVTec AD and Plant Village datasets. The detection performances of the LEA-Net were compared with that of the baseline model under different anomaly maps generated by three unsupervised approaches. In addition, we investigated the relationship between the detection performance of LEA-Net and the selection of an attention point, which means an intermediate layer where external attention is applied. The findings reveal that the synergy between the dataset and the generated anomaly map influenced the effectiveness of the LEA-Net. For poorly localized anomaly maps, the selection of the attention point becomes a pivotal factor in determining detection efficiency. At shallow attention points, a well-localized attention map successfully notably improves the detection performance. For deeper attention points, the overall intensity of the attention map is essential; this intensity can be substantially amplified by layer-wise external attention, even for a low-intensity anomaly map. Overall, the results suggest that for layer-wise external attention, the positional attributes of anomalies hold greater significance than the overall intensity or visual appearance of the anomaly map.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/100000804_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"Springer"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s42979-024-02912-3","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"Copyright (c) The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.","subitem_rights_resource":"http://creativecommons.org/licenses/by/4.0/"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2661-8907","subitem_source_identifier_type":"EISSN"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10430362"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"12358"}]},"item_21_version_type_58":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nakanishi, Keiichi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Shiroma, Ryo","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Hayakawa, Tokihisa","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Katafuchi, Ryoya","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Tokunaga, Terumasa","creatorNameLang":"en"},{"creatorName":"徳永, 旭将","creatorNameLang":"ja"}],"familyNames":[{"familyName":"Tokunaga","familyNameLang":"en"},{"familyName":"徳永","familyNameLang":"ja"}],"givenNames":[{"givenName":"Terumasa","givenNameLang":"en"},{"givenName":"旭将","givenNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"25036","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"50614806","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000050614806"},{"nameIdentifier":"24831982000","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=24831982000"},{"nameIdentifier":"100000804","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/##_ja.html"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-06-13"}],"filename":"10430362.pdf","filesize":[{"value":"4.4 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kyutech.repo.nii.ac.jp/record/2000766/files/10430362.pdf"},"version_id":"eac17fc5-6eda-4144-94cb-f4ef164f249f"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Anomaly detection","subitem_subject_scheme":"Other"},{"subitem_subject":"Visual inspection AI","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep learning","subitem_subject_scheme":"Other"},{"subitem_subject":"Visual attention mechanism","subitem_subject_scheme":"Other"},{"subitem_subject":"Self-attention · MVTec AD","subitem_subject_scheme":"Other"},{"subitem_subject":"Plant science","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection","subitem_title_language":"en"}]},"item_type_id":"21","owner":"14","path":["24"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-06-13"},"publish_date":"2024-06-13","publish_status":"0","recid":"2000766","relation_version_is_last":true,"title":["Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-06-13T01:39:16.276414+00:00"}