method: TencentAILab2017-10-28

Authors: Jingchao Zhou, Xing Ji, Zheng Zhou, Zhifeng Li

Description: Our method consists of two networks: text detection network employed in task 2.1 and word recognition network employed in task 2.2. Two networks are integrated with cascade training to achieve superior performance.

method: SRC-B-MachineLearningLab2017-07-11

Authors: Shuli Yang, Yingying Jiang, Xiaobing Wang, Xiangyu Zhu, Pei Fu, Hua Wang, Zhenbo Luo

Description: Samsung R&D Institute of China - Beijing. Machine Learning Lab. Our method is based on 2.1 and 2.3 (updated version). The paper is in preparation.

Ranking Table

Description Paper Source Code
DateMethodRecallPrecisionHmean
2017-10-28TencentAILab95.75%94.41%95.07%
2017-06-09TextBoxes++89.64%96.59%92.99%
2017-07-11SRC-B-MachineLearningLab89.75%94.49%92.06%
2018-01-22FOTS88.33%95.97%91.99%
2016-08-23HUST_MCLAB87.68%95.83%91.57%
2017-03-20AdelaideMachineLearning86.70%95.78%91.01%
2018-03-05HoText_v185.39%95.72%90.26%
2017-10-28MPTSys84.08%96.13%89.70%
2016-03-17Adelaide_ConvLSTMs79.39%96.68%87.19%
2016-03-10SRC-B-TextProcessingLab81.68%93.16%87.04%
2015-04-03VGGMaxBBNet_09582.12%91.05%86.35%
2015-04-03VGGMaxBBNet (055)82.99%89.63%86.18%
2017-01-19Yunos_Robot1.075.57%95.06%84.20%
2015-10-20Deep2Text II+72.08%94.56%81.81%
2015-04-02StradVision-175.03%88.66%81.28%
2015-04-02Deep2Text II-269.79%81.74%75.29%
2015-04-01NJU Text (Version3)69.47%80.13%74.42%
2015-04-01Deep2Text I66.74%83.95%74.36%
2015-04-02MSER MRF61.40%84.53%71.13%
2015-04-02Beam search CUNI (decoding for TextSpotter - no postprocessing)58.89%68.01%63.12%
2015-05-04Baseline OpenCV 3.0 + Tesseract48.96%75.72%59.47%
2015-04-02Beam search CUNI +S (decoding for TextSpotter - spell checked)15.27%92.72%26.22%
2015-04-01Baseline-TextSpotter0.00%0.00%0.00%

Ranking Graphic