Awesome-Mirrors/awesome-deep-text-detection-recognition
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@ -24,7 +24,7 @@ A curated list of awesome deep learning based papers on text detection and recog
'16-CVPR | 16/04/14 | [Multi-Oriented Text Detection with Fully Convolutional Networks](https://arxiv.org/pdf/1604.04018.pdf) | 0.83 | 0.54 | [`*TORCH(M)`](https://github.com/stupidZZ/FCN_Text)
'16-CVPR | 16/04/22 | [Synthetic Data for Text Localisation in Natural Images](http://www.robots.ox.ac.uk/~ankush/textloc.pdf) | 0.847 <br> (L)[0.8359](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=3820) | | [`CODE`](https://github.com/ankush-me/SynthText) <br> [`DB`](http://www.robots.ox.ac.uk/~vgg/data/scenetext/)
'16-arXiv | 16/06/29 | [Scene Text Detection Via Holistic, Multi-Channel Prediction](https://arxiv.org/pdf/1606.09002.pdf) |0.8433 | 0.6477 |
'16-ECCV | 16/09/12 | [Detecting Text in Natural Image with Connectionist Text Proposal Network](https://arxiv.org/pdf/1609.03605.pdf) | [0.8215](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=13931) | [0.6085](http://rrc.cvc.uab.es/?ch=4&com=evaluation&view=method_info&task=1&m=13930) | [`*CAFFE(M)`](https://github.com/tianzhi0549/CTPN) <br> [`CAFFE`](https://github.com/qingswu/CTPN) <br> [`TF(M)`](https://github.com/eragonruan/text-detection-ctpn) <br> [`DEMO`](http://textdet.com/) <br> [`BLOG(CH)`](http://slade-ruan.me/2017/10/22/text-detection-ctpn/)
'16-ECCV | 16/09/12 | [Detecting Text in Natural Image with Connectionist Text Proposal Network](https://arxiv.org/pdf/1609.03605.pdf) | [0.8215](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=13931) | [0.6085](http://rrc.cvc.uab.es/?ch=4&com=evaluation&view=method_info&task=1&m=13930) | [`*CAFFE(M)`](https://github.com/tianzhi0549/CTPN) <br> [`CAFFE`](https://github.com/qingswu/CTPN) <br> [`TF(M)`](https://github.com/eragonruan/text-detection-ctpn) <br> [`TF`](https://github.com/Li-Ming-Fan/OCR-DETECTION-CTPN) <br> [`DEMO`](http://textdet.com/) <br> [`BLOG(CH)`](http://slade-ruan.me/2017/10/22/text-detection-ctpn/)
'17-AAAI | 16/11/21 |[TextBoxes: A fast text detector with a single deep neural network](https://arxiv.org/pdf/1611.06779.pdf) | 0.85 <br> (L)[0.8767](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=21928) | | [`*CAFFE(M)`](https://github.com/MhLiao/TextBoxes) <br> [`TF`](https://github.com/shinjayne/shinTB) <br> [`BLOG(KR)`](http://jaynewho.com/post/6)
'18-TM | 17/03/03 | [Arbitrary-Oriented Scene Text Detection via Rotation Proposals](https://arxiv.org/pdf/1703.01086.pdf) | [0.9125](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=15904) | [0.8020](http://rrc.cvc.uab.es/?ch=4&com=evaluation&view=method_info&task=1&m=17393) | [`*CAFFE`](https://github.com/mjq11302010044/RRPN)
'17-CVPR | 17/03/04 | [Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection](https://arxiv.org/pdf/1703.01425.pdf) | | [0.7064](http://rrc.cvc.uab.es/?ch=4&com=evaluation&view=method_info&task=1&m=13007)
@ -85,7 +85,7 @@ A curated list of awesome deep learning based papers on text detection and recog
'17-IJCAI | 17/08/19 | [Learning to Read Irregular Text with Attention Mechanisms](https://faculty.ist.psu.edu/zzhou/paper/IJCAI17-IrregularText.pdf) |
'17-arXiv | 17/09/06 | [Scene Text Recognition with Sliding Convolutional Character Models](https://arxiv.org/pdf/1709.01727.pdf) | 0.765 | 0.816 | 0.845 | 0.852 |
'17-ICCV | 17/09/07 | [Focusing Attention: Towards Accurate Text Recognition in Natural Images](https://arxiv.org/pdf/1709.02054.pdf) | 0.859 | 0.874 | 0.942 | 0.933 |
'18-CVPR | 17/11/12 | [AON: Towards Arbitrarily-Oriented Text Recognition](https://arxiv.org/pdf/1711.04226.pdf) | 0.828 |0.87 | 0.915 ||[TF](https://github.com/huizhang0110/AON)
'18-CVPR | 17/11/12 | [AON: Towards Arbitrarily-Oriented Text Recognition](https://arxiv.org/pdf/1711.04226.pdf) | 0.828 |0.87 | 0.915 ||[`TF`](https://github.com/huizhang0110/AON)
'17-NIPS | 17/12/04 | [Gated Recurrent Convolution Neural Network for OCR](https://papers.nips.cc/paper/6637-gated-recurrent-convolution-neural-network-for-ocr.pdf) | 0.815 | 0.808 | 0.978 | | [`*TORCH(M)`](https://github.com/Jianfeng1991/GRCNN-for-OCR)
'18-AAAI | 18/01/04 | [Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition](http://www.visionlab.cs.hku.hk/publications/wliu_aaai18.pdf) | 0.844 | 0.836 | 0.915 | 0.908 |
'18-AAAI | 18/01/04 | [SqueezedText: A Real-time Scene Text Recognition by Binary Convolutional Encoder-decoder Network](https://pdfs.semanticscholar.org/0e59/f7d7e9c9380b425a94038c7a2500b2f6063a.pdf) | | 0.87 | 0.931 | 0.929 |