Real-time Scene Text Detection with Differentiable Binarization 阅读笔记
1.基于回归的方法（EAST(像素回归)，textboxe++(anchor回归)，pixel-anchor（像素回归+anchor回归））往往由更简单的post-processing(NMS就非极大值抑制)，由于是基于回归在做，因此对于不规则形状的文本检测并不准确 2.基于分割的方法,相对回归可以处理不同形状的文本，但是post-processing太费时间。 3.相对于现有的快速文本检测算法E
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相关文章
- 1. 《Real-time Scene Text Detection with Differentiable Binarization》阅读总结
- 2. 《DB：Real-time Scene Text Detection with Differentiable Binarization》论文笔记
- 3. Real-time Scene Text Detection with DB 阅读
- 4. DB算法分析《Real-time Scene Text Detection with Differentiable Binarization》
- 5. 文本检测 DB：Real-time Scene Text Detection with Differentiable Binarization
- 6. 【字符检测DBNet】《Real-time scene Text Detection with Differentiable Binarization》
- 7. 【论文阅读】Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
- 8. ICCV2017《Deep Direct Regression for Multi-Oriented Scene Text Detection》阅读笔记
- 9. 论文阅读SPCNet-Scene Text Detection with Supervised Pyramid Context Network
- 10. DBNet阅读笔记