{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T10:33:54Z","timestamp":1760524434108,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031216473"},{"type":"electronic","value":"9783031216480"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21648-0_9","type":"book-chapter","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:05:14Z","timestamp":1669334714000},"page":"122-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Self-supervised Vision Transformers with\u00a0Data Augmentation Strategies Using Morphological Operations for\u00a0Writer Retrieval"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6843-0830","authenticated-orcid":false,"given":"Marco","family":"Peer","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8351-5066","authenticated-orcid":false,"given":"Florian","family":"Kleber","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4195-1593","authenticated-orcid":false,"given":"Robert","family":"Sablatnig","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Christlein, V., Gropp, M., Fiel, S., Maier, A.: Unsupervised feature learning for writer identification and writer retrieval. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), pp. 991\u2013997 (2017)","DOI":"10.1109\/ICDAR.2017.165"},{"issue":"1","key":"9_CR2","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1049\/bme2.12039","volume":"11","author":"S Rasoulzadeh","year":"2022","unstructured":"Rasoulzadeh, S., BabaAli, B.: Writer identification and writer retrieval based on NetVLAD with Re-ranking. IET Biometrics 11(1), 10\u201322 (2022)","journal-title":"IET Biometrics"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Keglevic, M., Fiel, S., Sablatnig, R.: Learning features for writer retrieval and identification using triplet CNNs. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 211\u2013216 (2018)","DOI":"10.1109\/ICFHR-2018.2018.00045"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Christlein, V., Bernecker, D., Angelopoulou, E.: Writer identification using VLAD encoded Contour-Zernike moments. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 906\u2013910 (2015)","DOI":"10.1109\/ICDAR.2015.7333893"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Kleber, F., Fiel, S., Diem, M., Sablatnig, R.: CVL-DataBase: an o-line database for writer retrieval, writer identification and word spotting. In: 2013 12th International Conference on Document Analysis and Recognition, pp. 560\u2013564 (2013)","DOI":"10.1109\/ICDAR.2013.117"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Louloudis, G., Gatos, B., Stamatopoulos, N., Papandreou, A.: ICDAR 2013 competition on writer identification. In: 2013 12th International Conference on Document Analysis and Recognition, pp. 1397\u20131401 (2013)","DOI":"10.1109\/ICDAR.2013.282"},{"issue":"4","key":"9_CR7","doi-asserted-by":"publisher","first-page":"966","DOI":"10.3390\/make3040048","volume":"3","author":"V Buhrmester","year":"2021","unstructured":"Buhrmester, V., M\u00fcnch, D., Arens, M.: Analysis of explainers of black box deep neural networks for computer vision: a survey. Mach. Learn. Knowl. Extr. 3(4), 966\u2013989 (2021)","journal-title":"Mach. Learn. Knowl. Extr."},{"issue":"10s","key":"9_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3505244","volume":"54","author":"S Khan","year":"2021","unstructured":"Khan, S., Naseer, M., Hayat, M., Zamir, S.W., Khan, F.S., Shah, M.: Transformers in vision: a survey. ACM Comput. Surv. 54(10s), 1\u201341 (2021)","journal-title":"ACM Comput. Surv."},{"key":"9_CR9","unstructured":"Dosovitskiy, A., et al.: An image is Worth 16x16Words: transformers for image recognition at scale. ICLR (2021)"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Abnar, S., Zuidema, W.: Quantifying attention flow in transformers. In: Proceedings of the 58th Annual Meeting of the Association for Compu- tational Linguistics, Online: Association for Computational Linguistics, pp. 4190\u20134197 (2020)","DOI":"10.18653\/v1\/2020.acl-main.385"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Chefer, H., Gur, S., Wolf, L.: Transformer interpretability beyond attention visualization. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 782\u2013791 (2021)","DOI":"10.1109\/CVPR46437.2021.00084"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Caron, M., et al.: Emerging properties in self-supervised vision transformers. In: Proceedings of the International Conference on Computer Vision (ICCV) (2021)","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Fiel, S., Sablatnig, R.: Writer identification and retrieval using a convolutional neural network. In: CAIP (2015)","DOI":"10.1007\/978-3-319-23117-4_3"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Fiel, S., et al.: ICDAR2017 competition on historical document writer identification (Historical-WI). In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 01, pp. 1377\u20131382 (2017)","DOI":"10.1109\/ICDAR.2017.225"},{"key":"9_CR15","unstructured":"Wang, Z., Maier, A., Christlein, V.: Towards end-to-end deep learning-based writer identification. In: INFORMATIK,: Gesellschaft f\u00fcr Informatik. Bonn, pp. 1345\u20131354 (2020)"},{"key":"9_CR16","unstructured":"Baevski, A., Hsu, W.N., Xu, Q., Babu, A., Gu, J., Auli, M.: Data2vec: a general framework for self-supervised learning in speech, vision and language (2022)"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Souibgui, M.A., et al.: DocEnTr: an end-to-end document image enhancement transformer. arXiv preprint arXiv:-2201.10252 (2022)","DOI":"10.1109\/ICPR56361.2022.9956101"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Khamekhem Jemni, S., Souibgui, M.A., Kessentini, Y., Forn\u00e9s, A.: Enhance to read better: a multi-task adversarial network for handwritten document image enhancement. Pattern Recognit. 123, 108 370 (2022)","DOI":"10.1016\/j.patcog.2021.108370"},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Swin transformer V2: scaling up capacity and resolution. In: International Conference on Computer Vision and Pattern Recognition (CVPR) (2022)","DOI":"10.1109\/CVPR52688.2022.01170"},{"key":"9_CR20","unstructured":"Yan, H., Zhang, C., Wu, M.: Lawin transformer: improving semantic segmentation transformer with multi-scale representations via large window attention. ArXiv, vol. abs\/2201.01615 (2022)"},{"key":"9_CR21","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"}],"container-title":["Lecture Notes in Computer Science","Frontiers in Handwriting Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21648-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T14:46:12Z","timestamp":1710341172000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21648-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031216473","9783031216480"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21648-0_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"25 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICFHR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Frontiers in Handwriting Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hyderabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icfhr2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icfhr2022.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}