Titlebook: Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4; Kohei Arai Conference proceedings 2024 The Editor(s) (if applicabl

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Saloni Jain,Ashwija Reddy Korenda,Bertrand Camboue ground truth and the prediction. In addition, we reduce the backpropagation time by using a new pooling method called rotated box crop and resize pooling. The proposed method achieved state-of-the-art performance on ICDAR 2017, that is, an f-score of 75.0% and competitive results with f-scores of

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Kehinde Ayanod applications. The core . library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks. To promote extensibility, . also incorporates a community platform for sharing both pre

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Saloni Jain,Bertrand Camboution Network optimized using Hausdorff loss to obtain the final region boundary. Results on a challenging image manuscript dataset demonstrate that BoundaryNet outperforms strong baselines and produces high-quality semantic region boundaries. Qualitatively, our approach generalizes across multiple d

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Tamirat Abegaz,Boone Phaxai,Bryson Paynechical classification systems. By this combination, we tackle the constraints of our classification process: small dataset, missing modalities, noisy data, and non-English corpus. Our evaluation shows that the multimodal hierarchical system outperforms the unimodal and that the performance of multim

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