【学习总结】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
推荐学习理由：2018年11月云从科技提出的Pixel-Anchor，结合anchor-based和pixel-based的检测方法的特性，取长补短，并解决了长文本的检测，在FMeasure上，ICDAR2015获得了87.68，在ICDAR2017 MLT获得了74.54。 参考： https://arxiv.org/abs/1811.07432 http://www.javashuo.com/
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相关文章
- 1. 【论文解读】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
- 2. Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks——译文
- 3. 【论文学习总结】FOTS: Fast Oriented Text Spotting with a Unified Network
- 4. 【论文学习】Feature Pyramid Based Scene Text Detector
- 5. 《TextBoxes++: A Single-Shot Oriented Scene Text Detector》论文笔记
- 6. 翻译和笔记--FOTS: Fast Oriented Text Spotting with a Unified Network
- 7. 论文笔记：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 8. 【Paper Reading】【TextBoxess: A Fast Text Detector with a Single Deep Neural Network】
- 9. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》阅读翻译
- 10. Feature Enhancement Network: A Refined Scene Text Detector