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REZCR: Zero-shot Character Recognition via Radical Extraction. (arXiv:2207.05842v2 [cs.CV] UPDATED)
Aug. 19, 2022, 1:12 a.m. | Xiaolei Diao, Daqian Shi, Hao Tang, Yanzeng Li, Lei Wu, Hao Xu
cs.CV updates on arXiv.org arxiv.org
The long-tail effect is a common issue that limits the performance of deep
learning models on real-world datasets. Character image datasets are also
affected by such unbalanced data distribution due to differences in character
usage frequency. Thus, current character recognition methods are limited when
applied in the real world, especially for the categories in the tail which are
lacking training samples, e.g., uncommon characters. In this paper, we propose
a zero-shot character recognition framework via radical extraction (REZCR) to
improve …
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