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Titlebook: Proceedings of the ICSDI 2024 Volume 2; Proceedings of the 2 Yasser Mansour,Umashankar Subramaniam,Eman Aboward Conference proceedings 2025

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31#
發(fā)表于 2025-3-26 23:44:56 | 只看該作者
Mohammed Seddik MeddahIndian languages with varying complexities in fonts and word length statistics. We also demonstrate that the learned features of the models transferred from other Indian languages are visually closer (and sometimes even better) to the individual model features than those transferred from English. We
32#
發(fā)表于 2025-3-27 01:37:12 | 只看該作者
33#
發(fā)表于 2025-3-27 09:16:17 | 只看該作者
34#
發(fā)表于 2025-3-27 11:48:46 | 只看該作者
35#
發(fā)表于 2025-3-27 14:10:14 | 只看該作者
Sajid Hussain Qazi,Román Cantú Rodríguez,Lieven Vandeveldeis trained via a novel loss function for predicting the column mask for a given input image. Experiments have been performed to analyze the different components of the proposed pipeline, thus supporting their inclusion for enhanced performance. The proposed pipeline has been evaluated on the challen
36#
發(fā)表于 2025-3-27 19:23:21 | 只看該作者
Moustafa M. Nasrallataset with 43.02% improvement, 2.94% on RIMES dataset with 56.25% improvement and 7.35% on READ-2016 dataset with 47.27% improvement from the existing results. The character error rate and word error rate reported in this work surpass the results reported in the literature.
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