method: Clova AI / Lens2018-10-05

Authors: Seolki Baek, Geonmo Gu, Jeongo Seo

Description: Description: Our model is featured by CNN/RNN-based encoder and Hybrid CTC/Attention decoder. Moreover we proposed new text synthesis tools to make our model robust and high performance in the wild.

method: CLOVA-AI2018-11-30

Authors: Junyeop Lee, Jeonghun Baek, Sungrae Park, Moonbin Yim, Seonghyeon Kim, Hwalsuk Lee

Description: Attention based model

method: DictNet2017-09-02

Authors: RRC DOST organizers

Description: Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
M Jaderberg, K Simonyan, A Vedaldi, A Zisserman
NIPS Deep Learning Workshop 2014

Ranking Table

Description Paper Source Code
DateMethodTotal Edit distance (case sensitive)Correctly Recognised Words (case sensitive)T.E.D. (case insensitive)C.R.W. (case insensitive)
2018-10-05Clova AI / Lens12.857190.30%11.666790.91%
2017-07-24google vision api122.392118.79%121.806318.79%
2017-08-31tesseract 4.00 (LSTM)138.404018.18%132.358018.79%

Ranking Graphic

Ranking Graphic