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  1. No Access

    Article

    U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts

    Document Layout Analysis, which is the task of identifying different semantic regions inside of a document page, is a subject of great interest for both computer scientists and humanities scholars as it repres...

    Silvia Zottin, Axel De Nardin, Emanuela Colombi… in Neural Computing and Applications (2024)

  2. No Access

    Chapter and Conference Paper

    Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis

    Semantic segmentation models have shown impressive performance in the context of historical document layout analysis, but their effectiveness is reliant on having access to a large number of high-quality annot...

    Axel De Nardin, Silvia Zottin… in Image Analysis and Processing - ICIAP 2023… (2024)

  3. No Access

    Chapter and Conference Paper

    Writer Identification in Historical Handwritten Documents: A Latin Dataset and a Benchmark

    Writer identification refers to the process of determining or attributing the authorship of a document to a specific individual through the analysis of various elements such as writing style, linguistic charac...

    Alessio Fagioli, Danilo Avola, Luigi Cinque… in Image Analysis and Processing - ICIAP 2023… (2024)

  4. No Access

    Chapter

    AI for the Restoration of Ancient Inscriptions: A Computational Linguistics Perspective

    This chapter addresses the challenge of restoring ancient inscriptions using Artificial Intelligence (AI) and highlights the crucial role played by the collaboration between epigraphers and computer scientists...

    Alessandro Locaputo, Beatrice Portelli, Stefano Magnani… in Decoding Cultural Heritage (2024)