【论文解读】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Perface 最近比较好奇场景文本检测中Size较大、较长的文本行的检测问题，于是去调查了ICDAR2017MLT数据集检测结果，发现目前开源的最好结果是云从科技的“Pixel-Anchor”，竞赛结果达到了74.54%，小编非常好奇究竟是什么神仙操作能达到这么好的结果，于是找到论文原文打算一探究竟（虽然论文中MLT的结果只有68.1%，但IC2015达到了87.68%），强自有强
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相关文章
- 1. Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks——译文
- 2. 【学习总结】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
- 3. 《TextBoxes++: A Single-Shot Oriented Scene Text Detector》论文笔记
- 4. 【论文学习】Feature Pyramid Based Scene Text Detector
- 5. 论文笔记：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 6. [论文笔记]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 7. 【论文学习总结】FOTS: Fast Oriented Text Spotting with a Unified Network
- 8. Oriented Response Networks 论文解读
- 9. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》阅读翻译
- 10. SRN: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks ---论文阅读笔记