Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning. (arXiv:2207.11934v2 [cs.CV] UPDATED)

Text detection and recognition are essential components of a modern OCR
system. Most OCR approaches attempt to obtain accurate bounding boxes of text
at the detection stage, which is used as the input of the text recognition
stage. We observe that when using tight text bounding boxes as input, a text
recognizer frequently fails to achieve optimal performance due to the
inconsistency between bounding boxes and deep representations of text
recognition. In this paper, we propose Box Adjuster, a reinforcement …

adjusting arxiv boosting cv learning reinforcement reinforcement learning text