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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. Article

    Open Access

    Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology

    This narrative review aims to provide an overview of the dangers, controversial aspects, and implications of artificial intelligence (AI) use in ophthalmology and other medical-related fields.

    Daniele Veritti, Leopoldo Rubinato… in Graefe's Archive for Clinical and Experime… (2024)

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    Semantic segmentation models have shown impressive performance in the context of historical document layout analysis, but their effectiveness is reliant on having access to a large number of high-quality annot...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

  4. No Access

    Chapter and Conference Paper

    Bringing Attention to Image Anomaly Detection

    Detecting anomalies in images is a task with several relevant real-world applications, e.g. industrial inspection. Building on the existing RIAD (Reconstruction by Inpainting for visual Anomaly Detection) fram...

    Axel de Nardin, Pankaj Mishra… in Image Analysis and Processing. ICIAP 2022 … (2022)