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@ -65,11 +65,10 @@ PaddleOCR文本检测算法的训练与使用请参考[文档](./doc/detection.m
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PaddleOCR开源的文本识别算法列表:
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- [x] [CRNN](https://arxiv.org/abs/1507.05717)
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- [x] [DTRB](https://arxiv.org/abs/1904.01906)
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- [ ] [Rosetta](https://arxiv.org/abs/1910.05085)
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- [ ] [STAR-Net](http://www.bmva.org/bmvc/2016/papers/paper043/index.html)
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- [ ] [RARE](https://arxiv.org/abs/1603.03915v1)
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- [ ] [SRN]((https://arxiv.org/abs/2003.12294))(百度自研)
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- [x] [Rosetta](https://arxiv.org/abs/1910.05085)
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- [x] [STAR-Net](http://www.bmva.org/bmvc/2016/papers/paper043/index.html)
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- [x] [RARE](https://arxiv.org/abs/1603.03915v1)
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- [ ] [SRN]((https://arxiv.org/abs/2003.12294))(百度自研, comming soon)
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算法效果如下表所示,精度指标是在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上的评测结果的平均值。
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@ -89,7 +88,7 @@ PaddleOCR文本识别算法的训练与使用请参考[文档](./doc/recognition
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## TODO
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**端到端OCR算法**
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PaddleOCR即将开源百度自研端对端OCR模型[End2End-PSL](https://arxiv.org/abs/1909.07808),敬请关注。
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- [ ] End2End-PSL (comming soon)
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- [ ] End2End-PSL (百度自研, comming soon)
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