Robust ReadingCompetition

Authors: Wenhai Wang, Xiang Li, Wenbo Hou, Tong Lu, Jian Yang

Description: A text detector based on semantic segmentation. Using only ICDAR_2017 MLT training set and ICDAR 2015 training set. Paper is in the preparation. And we will release our code latter.

method: SARI_FDU_RRPN_v12017-06-29

Authors: Jianqi Ma, Weiyuan Shao, Yingbin Zheng, Hong Wang, Li Wang, Hao Ye, Xiangyang Xue, Shanghai Advanced Research Institute, CAS & Fudan University,

Description: A Rotation Region Proposal Network (RRPN) [8] is designed to generate inclined proposals with text orientation angle information. The angle information is used for bounding box regression to detect accurately oriented text proposals. The rotated region-of-interest pooling layer projects the proposals to a feature map for a text region classifier.

[8]: J. Ma, W. Shao, H. Ye, L. Wang, H. Wang, Y. Zheng, and X. Xue, “Arbitrary-oriented scene text detection via rotation proposals,” CoRR, vol. abs/1703.01086, 2017.

Ranking Table

Description Paper Source Code
DateMethodAverage PrecisionPrecisionRecallHmean
2018-05-18PSENet_NJU_ImagineLab (single-scale)52.51%77.01%68.40%72.45%

Ranking Graphic

Ranking Graphic