TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting阅读笔记
摘要 本文提出一种用来制造文本检测与识别关系的可微运算RoISlide，使模型成为端到端模型。本文在两个弯曲文本数据集CTW1500和Total-Text上的表现达到最佳，在常规文本数据集ICDAR2015上达到了具有竞争力的结果。 介绍 目前，文本检测的现有方法大多数是通过两步实现：文本检测与文本识别。这样的方式具有时间成本高和忽略了文本检测与识别之间的联系这两个缺点。 本文提出的TextDra
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相关文章
- 1. 白翔2018Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shap
- 2. [论文解读]|PAN:Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
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- 5. Graph Convolutional Networks for Text Classification阅读笔记
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- 9. T5: Text-to-Text Transfer Transformer 阅读笔记
- 10. 阅读 Meta-SR:A Magnification-Arbitrary Network for Super-Resolution