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上传时间: 2020-05-20
详细说明：OCR相关的一些论文
At present, text orientation is not diverse enough in the existing scene text datasets. Specifically, curve-orientated text is
largely out-numbered by horizontal and multi-oriented text, hence, it has received minimal attention from the community so
far. Motivated by this phenomenon, we collected a new scene text dataset, Total-Text, which emphasized on text orientations
diversity. It is the first relatively large scale scene text dataset that features three different text orientations: horizontal, multi-
oriented, and curve-oriented. In addition, we also study several other important elements such as the practicality and quality
of ground truth, evaluation protocol, and the annotation process. We believe that these elements are as important as the
images and ground truth to facilitate a new research direction. Secondly, we propose a new scene text detection model as the
baseline for Total-Text, namely Polygon-Faster-RCNN, and demonstrated its ability to detect text of all orientations.
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