From e75c3c1033033e7079f646a21a4bbf307882b423 Mon Sep 17 00:00:00 2001 From: dyning Date: Sun, 20 Dec 2020 08:28:52 +0800 Subject: [PATCH] Update algorithm_overview_en.md --- doc/doc_en/algorithm_overview_en.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/doc/doc_en/algorithm_overview_en.md b/doc/doc_en/algorithm_overview_en.md index b0ef5022..427b3de6 100755 --- a/doc/doc_en/algorithm_overview_en.md +++ b/doc/doc_en/algorithm_overview_en.md @@ -11,9 +11,9 @@ This tutorial lists the text detection algorithms and text recognition algorithm ### 1. Text Detection Algorithm PaddleOCR open source text detection algorithms list: -- [x] EAST[2]([paper](https://arxiv.org/abs/1704.03155)) -- [x] DB[1]([paper](https://arxiv.org/abs/1911.08947)) -- [x] SAST[4]([paper](https://arxiv.org/abs/1908.05498) )(Baidu Self-Research) +- [x] EAST([paper](https://arxiv.org/abs/1704.03155))[2] +- [x] DB([paper](https://arxiv.org/abs/1911.08947))[1] +- [x] SAST([paper](https://arxiv.org/abs/1908.05498))[4] On the ICDAR2015 dataset, the text detection result is as follows: @@ -39,11 +39,11 @@ For the training guide and use of PaddleOCR text detection algorithms, please re ### 2. Text Recognition Algorithm PaddleOCR open-source text recognition algorithms list: -- [x] CRNN[7]([paper](https://arxiv.org/abs/1507.05717)) -- [x] Rosetta[10]([paper](https://arxiv.org/abs/1910.05085)) -- [ ] STAR-Net[11]([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html)) coming soon -- [ ] RARE[12]([paper](https://arxiv.org/abs/1603.03915v1)) coming soon -- [ ] SRN[5]([paper](https://arxiv.org/abs/2003.12294) )(Baidu Self-Research) coming soon +- [x] CRNN([paper](https://arxiv.org/abs/1507.05717))[7] +- [x] Rosetta([paper](https://arxiv.org/abs/1910.05085))[10] +- [ ] STAR-Net([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html))[11] coming soon +- [ ] RARE([paper](https://arxiv.org/abs/1603.03915v1))[12] coming soon +- [ ] SRN([paper](https://arxiv.org/abs/2003.12294))[5] coming soon Refer to [DTRB](https://arxiv.org/abs/1904.01906), the training and evaluation result of these above text recognition (using MJSynth and SynthText for training, evaluate on IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE) is as follow: -- GitLab