Titlebook: Document Analysis and Recognition – ICDAR 2024 Workshops; Athens, Greece, Augu Harold Mouchère,Anna Zhu Conference proceedings 2024 The Edi

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Prinzipien des Dauerleistungstrainings,andwritten text, the model utilizes individual attention maps to inform the presence or absence of specific characters in the input image. This paper presents the NeuroPapyri model, including its architecture and training methodology. Results from the evaluation demonstrate NeuroPapyri’s efficacy in

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sual inputs from Hell-Date to predict precise dates of papyri. In addition, experts provide palaeographic dating for comparison. To compare, we developed a new framework for error analysis that reflects the inherent imprecision of the palaeographic dating method. The results indicate that the comput

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e additional classes that define hierarchical elements, like column-header, table-footer, cells, merged-cell, table-summary etc. For these additional entities, we define hierarchical relations like a tuple of entities {table-header entity, column-header entity, row-header entity} that point to the u

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NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrievalandwritten text, the model utilizes individual attention maps to inform the presence or absence of specific characters in the input image. This paper presents the NeuroPapyri model, including its architecture and training methodology. Results from the evaluation demonstrate NeuroPapyri’s efficacy in

Calculus

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Cerumen

Detecting and Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and Vision Transformersscriptions and graffiti. The research utilizes a newly compiled dataset of 150 images that include a variety of inscriptions, mosaics, and graffiti. These images are sourced from general archaeological site views and vary in quality and type, including drone and archival photos, to replicate real-wo