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Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis.

, , , , и . WML@ICDAR, стр. 30-35. IEEE, (2017)978-1-5386-3586-5.

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Ingold Dutz

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YML: une version épurée de XML pour faciliter une spécification rigoureuse des modèles et des transformations., и . CIDE, стр. 59-76. Europia, (2006)DIVAServices-Spotlight - Experimenting with Document Image Analysis Methods in the Web., , , и . DH, стр. 414-417. Alliance of Digital Humanities Organizations (ADHO), (2016)Phonographic sound extraction using image and signal processing., , , , и . ICASSP (4), стр. 289-292. IEEE, (2004)DocMIR: An automatic document-based indexing system for meeting retrieval., , и . Multim. Tools Appl., 37 (2): 135-167 (2008)Phonographic sound extraction using photography and signal processing., , , , и . Digit. Signal Process., 17 (2): 433-450 (2007)ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames., , , и . ICPR Workshops (8), том 12668 из Lecture Notes in Computer Science, стр. 343-356. Springer, (2020)An End-to-End Framework for Evaluating Explainable Deep Models: Application to Historical Document Image Segmentation., , , и . ICCCI, том 13501 из Lecture Notes in Computer Science, стр. 106-119. Springer, (2022)A Text Line Extraction Method for Archival Document Transcription., , , и . SSD, стр. 479-484. IEEE, (2020)Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture., , , , и . ICPR, стр. 2978-2983. IEEE Computer Society, (2014)Visual signature based identification of Low-resolution document images., , и . ACM Symposium on Document Engineering, стр. 178-187. ACM, (2004)