Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Deep Learning for Historical Document Analysis and Recognition—A SurveyJournal of imaging, 2020-10, Vol.6 (10), p.110 [Peer Reviewed Journal]2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 2313-433X ;EISSN: 2313-433X ;DOI: 10.3390/jimaging6100110 ;PMID: 34460551Full text available |
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Material Type: Article
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iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysisData in brief, 2022-04, Vol.41, p.107964-107964, Article 107964 [Peer Reviewed Journal]2022 ;2022 The Author(s). Published by Elsevier Inc. ;2022 The Author(s). Published by Elsevier Inc. 2022 ;ISSN: 2352-3409 ;EISSN: 2352-3409 ;DOI: 10.1016/j.dib.2022.107964 ;PMID: 35242944Full text available |
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Material Type: Article
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CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous ConvolutionJournal of imaging, 2021-10, Vol.7 (10), p.214 [Peer Reviewed Journal]2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 2313-433X ;EISSN: 2313-433X ;DOI: 10.3390/jimaging7100214 ;PMID: 34677300Full text available |
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4 |
Material Type: Article
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Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast AsiaJournal of imaging, 2018-02, Vol.4 (2), p.43 [Peer Reviewed Journal]2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2313-433X ;EISSN: 2313-433X ;DOI: 10.3390/jimaging4020043Full text available |
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5 |
Material Type: Article
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DCNet: Noise-Robust Convolutional Neural Networks for Degradation Classification on Ancient DocumentsJournal of imaging, 2021-07, Vol.7 (7), p.114 [Peer Reviewed Journal]2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 2313-433X ;EISSN: 2313-433X ;DOI: 10.3390/jimaging7070114Full text available |