Scene Text Recognition with Semantics. (arXiv:2210.10836v1 [cs.CV])

Scene Text Recognition (STR) models have achieved high performance in recent
years on benchmark datasets where text images are presented with minimal noise.
Traditional STR recognition pipelines take a cropped image as sole input and
attempt to identify the characters present. This infrastructure can fail in
instances where the input image is noisy or the text is partially obscured.
This paper proposes using semantic information from the greater scene to
contextualise predictions. We generate semantic vectors using object tags and …

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