Adaptive Text Recognition Through Visual Matching
European Conference on Computer Vision(2020)
摘要
This work addresses the problems of generalization and flexibility for text recognition in documents. We introduce a new model that exploits the repetitive nature of characters in languages, and decouples the visual decoding and linguistic modelling stages through intermediate representations in the form of similarity maps. By doing this, we turn text recognition into a visual matching problem, thereby achieving generalization in appearance and flexibility in classes.
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关键词
Text recognition,Sequence recognition,Similarity maps
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