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【ECCV2016】Detecting Text in Natural Image with Connectionist Text Proposal Network
时间 2021-01-16
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关键点 文本检测和一般目标检测的不同——文本是一个sequence(字符、字符的一部分、多字符组成的一个sequence),同一文本线上不同字符可以互相利用上下文,可以用sequence的方法。比如RNN来表示。作者认为,预测文本的竖直位置(文本bounding box的上下边界)比水平位置(文本bounding box的左右边界)更容易。 Top-down(先检测文本区域,再找出文本线)的文本检
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相关文章
1.
【Paper Reading】【CTPN: Detecting Text in Natural Image with Connectionist Text Proposal Network】
2.
CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network)算法详解
3.
[论文阅读] CTPN---Detecting Text in Natural Image with Connectionist Text Proposal Network
4.
Detecting Text in Natural Image with Connectionist Text Proposal Network论文笔记
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翻译CTPN:Detecting Text in Natural Image with Connectionist Text Proposal Network
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