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We propose a Seed-Augment-Train/Transfer (SAT) framework that contains a synthetic seed image dataset generation procedure for languages with different numeral systems using freely available open font file datasets

Creat2019-05-01T03:37:46
Update2023-05-18T08:03:06
https://arxiv.org/abs/1905.08633
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