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A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
| Date | Stars |
|---|---|
| 2026-07-24 | 2528 |
| 2026-07-25 | 2528 |
| 2026-07-28 | 2528 |
| 2026-07-30 | 2528 |
| 2026-07-31 | 2530 |
| 2026-08-06 | 2530 |
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# awesome-deep-text-detection-recognition A curated list of awesome deep learning based papers on text detection and recognition. <p align='center'> <img src = '/overall_pi_chart.png' height="300px"> <img src = '/overall_histogram.png' height="450px"> </p> ## Text Detection * Papers are sorted by published date. * IC is shorts for ICDAR. * Score is F1-score for localization task. * (L) stands for score in [leader-board](http://rrc.cvc.uab.es/). * If the reported score in leader-board is somewhat different from the paper, (L) is provided. * `*CODE` means official code and `CODE(M)` means that traiend model is provided. *Conf.* | *Date* | *Title* | *IC13* | *IC15* | *Resources* | :---: | :---: |:--- | :---: | :---: | :---: | '14-ECCV | 14/10/07 | [Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees]( http://www.whuang.org/papers/whuang2014_eccv.pdf) | 15-CVPR | 15/06/01 | [Symmetry-based text line detection in natural scenes](https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Symmetry-Based_Text_Line_2015_CVPR_paper.pdf) | [0.8043](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=2197) | | [`PRJ`](http://mclab.eic.hust.edu.cn/~xbai/text/symmetry/SymmetryTextLineDetection.html) <br> [`CODE`](https://github.com/stupidZZ/Symmetry_Text_Line_Detection) | '16-TIP | 15/10/12 | [Text-Attentional Convolutional Neural Networks for Scene Text Detection](https://arxiv.org/pdf/1510.03283.pdf) | [0.8165](http://rrc.cvc.uab.es/?ch=2&com=evaluation&view=method_info&task=1&m=7187) | '15-ICCV | 15/12/13 | [Text Flow : A Unified Text Detection System in Natural Scene Images](https://pdfs.semanticscholar.org/11a0/8ced22775a217ba78c566528ed44ea98e3e3.pdf) |0.8025 | '16-arXiv | 16/03/31 | [Accurate Text Localization in Natural Image with Cascaded Convolutional TextNetwork](https://arxiv.org/pdf/1603.09423.pdf) | 0.86 | | '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> [`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
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NAVER Clova AI Research
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Donghyun (Anthony) Kim · Sendbird - AI/ML
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Isaac Lee · Google · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:582ead3193310eef, topic:awesome-list, desc:curated list, readme:curated list
matched fp:582ead3193310eef, topic:ocr, readme:ocr, readme:synthetic data
matched fp:582ead3193310eef, topic:deep-learning