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Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi

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樓主: ODE
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發(fā)表于 2025-3-30 09:10:55 | 只看該作者
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發(fā)表于 2025-3-30 14:11:01 | 只看該作者
Drawing the?Line: Deep Segmentation for?Extracting Art from?Ancient Etruscan Mirrorsnce on complete mirrors against a human baseline, our approach yields quantitative similar performance to a human annotator and significantly outperforms existing binarization methods. With our proposed methodology, we streamline the annotation process, enhance its objectivity, and reduce overall wo
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發(fā)表于 2025-3-30 18:20:37 | 只看該作者
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發(fā)表于 2025-3-30 21:58:47 | 只看該作者
Enhancing Recognition of?Historical Musical Pieces with?Synthetic and?Composed Imagesn, combining the images from a manuscript page to mitigate the contextual limitations associated with single-line processing. Despite challenges observed in traditional HTR models, the regularity found in historical musical document layouts enhances the suitability of image composition for HMR. Thes
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發(fā)表于 2025-3-31 03:11:27 | 只看該作者
On Image Processing and?Pattern Recognition for?Thermograms of?Watermarks in?Manuscripts – A First Phe gap between digitized thermograms of music manuscripts and watermark classification for similarity-based search through (i) a state-of-the-art (SOTA) analysis, (ii) a resulting conceptual design based on well-understood SOTA as well as novel methods, (iii) an easy-to-use implementation, and (iv)
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