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fix: Fixed landing page and title underlines #860

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docs: Fixed indentation of landing page
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fg-mindee committed Mar 16, 2022
commit 439f1d466efe009302bacb8d7530ca4f13c51ed9
28 changes: 14 additions & 14 deletions docs/source/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -39,27 +39,27 @@ Model zoo

Text detection models
"""""""""""""""""""""
* DBNet from `"Real-time Scene Text Detection with Differentiable Binarization" <https://arxiv.org/pdf/1911.08947.pdf>`_
* LinkNet from `"LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation" <https://arxiv.org/pdf/1707.03718.pdf>`_
* DBNet from `"Real-time Scene Text Detection with Differentiable Binarization" <https://arxiv.org/pdf/1911.08947.pdf>`_
* LinkNet from `"LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation" <https://arxiv.org/pdf/1707.03718.pdf>`_

Text recognition models
"""""""""""""""""""""""
* SAR from `"Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition" <https://arxiv.org/pdf/1811.00751.pdf>`_
* CRNN from `"An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition" <https://arxiv.org/pdf/1507.05717.pdf>`_
* MASTER from `"MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" <https://arxiv.org/pdf/1910.02562.pdf>`_
* SAR from `"Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition" <https://arxiv.org/pdf/1811.00751.pdf>`_
* CRNN from `"An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition" <https://arxiv.org/pdf/1507.05717.pdf>`_
* MASTER from `"MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" <https://arxiv.org/pdf/1910.02562.pdf>`_


Supported datasets
^^^^^^^^^^^^^^^^^^
* FUNSD from `"FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents" <https://arxiv.org/pdf/1905.13538.pdf>`_.
* CORD from `"CORD: A Consolidated Receipt Dataset forPost-OCR Parsing" <https://openreview.net/pdf?id=SJl3z659UH>`_.
* SROIE from `ICDAR 2019 <https://rrc.cvc.uab.es/?ch=13>`_.
* IIIT-5k from `CVIT <https://cvit.iiit.ac.in/research/projects/cvit-projects/the-iiit-5k-word-dataset>`_.
* Street View Text from `"End-to-End Scene Text Recognition" <http://vision.ucsd.edu/~kai/pubs/wang_iccv2011.pdf>`_.
* SynthText from `Visual Geometry Group <https://www.robots.ox.ac.uk/~vgg/data/scenetext/>`_.
* SVHN from `"Reading Digits in Natural Images with Unsupervised Feature Learning" <http://ufldl.stanford.edu/housenumbers/nips2011_housenumbers.pdf>`_.
* IC03 from `ICDAR 2003 <http://www.iapr-tc11.org/mediawiki/index.php?title=ICDAR_2003_Robust_Reading_Competitions>`_.
* IC13 from `ICDAR 2013 <http://dagdata.cvc.uab.es/icdar2013competition/>`_.
* FUNSD from `"FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents" <https://arxiv.org/pdf/1905.13538.pdf>`_.
* CORD from `"CORD: A Consolidated Receipt Dataset forPost-OCR Parsing" <https://openreview.net/pdf?id=SJl3z659UH>`_.
* SROIE from `ICDAR 2019 <https://rrc.cvc.uab.es/?ch=13>`_.
* IIIT-5k from `CVIT <https://cvit.iiit.ac.in/research/projects/cvit-projects/the-iiit-5k-word-dataset>`_.
* Street View Text from `"End-to-End Scene Text Recognition" <http://vision.ucsd.edu/~kai/pubs/wang_iccv2011.pdf>`_.
* SynthText from `Visual Geometry Group <https://www.robots.ox.ac.uk/~vgg/data/scenetext/>`_.
* SVHN from `"Reading Digits in Natural Images with Unsupervised Feature Learning" <http://ufldl.stanford.edu/housenumbers/nips2011_housenumbers.pdf>`_.
* IC03 from `ICDAR 2003 <http://www.iapr-tc11.org/mediawiki/index.php?title=ICDAR_2003_Robust_Reading_Competitions>`_.
* IC13 from `ICDAR 2013 <http://dagdata.cvc.uab.es/icdar2013competition/>`_.


.. toctree::
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