From 16f2e417612de6ccdf01a9f80ab1d06ea7eb48d9 Mon Sep 17 00:00:00 2001
From: Topdu <784990967@qq.com>
Date: Thu, 4 Nov 2021 09:59:09 +0000
Subject: [PATCH] add nrtr reference

---
 doc/doc_ch/algorithm_overview.md |  3 +--
 doc/doc_ch/reference.md          | 10 ++++++++++
 2 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/doc/doc_ch/algorithm_overview.md b/doc/doc_ch/algorithm_overview.md
index 6f19c6aa..b4ec6bc2 100755
--- a/doc/doc_ch/algorithm_overview.md
+++ b/doc/doc_ch/algorithm_overview.md
@@ -50,7 +50,7 @@ PaddleOCR基于动态图开源的文本识别算法列表：
 - [x]  STAR-Net([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html))[11]
 - [x]  RARE([paper](https://arxiv.org/abs/1603.03915v1))[12]
 - [x]  SRN([paper](https://arxiv.org/abs/2003.12294))[5]
-- [x]  NRTR([paper](https://arxiv.org/abs/1806.00926v2))
+- [x]  NRTR([paper](https://arxiv.org/abs/1806.00926v2))[13]
 
 参考[DTRB][3](https://arxiv.org/abs/1904.01906)文字识别训练和评估流程，使用MJSynth和SynthText两个文字识别数据集训练，在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行评估，算法效果如下：
 
@@ -78,4 +78,3 @@ PaddleOCR文本检测算法的训练和使用请参考文档教程中[模型训
 ## 3. 模型推理
 
 上述模型中除PP-OCR系列模型以外，其余模型仅支持基于Python引擎的推理，具体内容可参考[基于Python预测引擎推理](./inference.md)
-
diff --git a/doc/doc_ch/reference.md b/doc/doc_ch/reference.md
index f1337ded..33474477 100644
--- a/doc/doc_ch/reference.md
+++ b/doc/doc_ch/reference.md
@@ -112,4 +112,14 @@
   year={2016}
 }
 
+13.NRTR
+@misc{sheng2019nrtr,
+      title={NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition},
+      author={Fenfen Sheng and Zhineng Chen and Bo Xu},
+      year={2019},
+      eprint={1806.00926},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+
 ```
-- 
GitLab