【text recognition算法】AON: Towards Arbitrarily-Oriented Text Recognition
CVPR 2018 Introduction 這個模型是作者針對基於STN的不規則文本識別算法難以訓練，需要人工標記的缺點，來提出的一種全新的對任意方向文本進行識別的算法。 Model 整體架構 整個模型分爲三個部分，BCNN基本CNN層用來對input image提取出feature map，AON+FG是本算法的核心，基本思路是將文本方向分爲Left2Right，Right2Lef
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相關文章
- 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文本識別算法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 ---論文閱讀筆記
- 8. 【轉】SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
- 9. Decoupled Attention Network for Text Recognition——論文解讀
- 10. Almost Unsupervised Text to Speech and Automatic Speech Recognition