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7 p, 1.2 MB Few shots are all you need : A progressive learning approach for low resource handwritten text recognition / Souibgui, Mohamed Ali (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Fornes Bisquerra, Alicia (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Kessentini, Yousri (Artificial Intelligence and Networks) ; Megyesi, Beáta (Uppsala University. Department of Linguistics and Philology)
Handwritten text recognition in low resource scenarios, such as manuscripts with rare alphabets, is a challenging problem. In this paper, we propose a few-shot learning-based handwriting recognition approach that significantly reduces the human annotation process, by requiring only a few images of each alphabet symbols. [...]
2022 - 10.1016/j.patrec.2022.06.003
Pattern Recognition Letters, Vol. 160 (August 2022) , p. 43-49  

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