【text recognition算法】AON: Towards Arbitrarily-Oriented Text Recognition
CVPR 2018 Introduction 这个模型是作者针对基于STN的不规则文本识别算法难以训练，需要人工标记的缺点，来提出的一种全新的对任意方向文本进行识别的算法。 Model 整体架构 整个模型分为三个部分，BCNN基本CNN层用来对input image提取出feature map，AON+FG是本算法的核心，基本思路是将文本方向分为Left2Right，Right2Lef
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相关文章
- 1. 【text recognition算法】ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification
- 2. 【text recognition算法】Scene Text Recognition from Two-Dimensional Perspective
- 3. Text Recognition with ML Kit
- 4. Text recognition文本识别算法MORAN: A Multi-Object Rectified Attention Network for scence text recognition
- 5. Text recognition算法：ASTER：An Attentional Scene Text Recognizer with Flexible Rectification
- 6. robust scene text recognition with automatic rectification
- 7. SRN: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks ---论文阅读笔记
- 8. 【转】SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
- 9. Decoupled Attention Network for Text Recognition——论文解读
- 10. Almost Unsupervised Text to Speech and Automatic Speech Recognition