Authors: Hong Wang, Weiyuan Shao, Haonan Qiu, Jianqi Ma, Zhiqiang Shen

Description: 汪宏，Hong Wang， Chinese Academy of Sciences
邵蔚元，Weiyuan Shao， Fudan University
邱浩南，Haonan Qiu， East China Normal University
马建奇，Jianqi Ma， Fudan University
沈志强，Zhiqiang Shen， Carnegie Mellon University

We adopt ResNet + FPN as backbone network and we use features from different resolutions of FPN, in order to utilize the spatial and semantic information. We first resize and concatenate these features
to generate a new vector. Then we involve three additional branches based on this vector. The first branch is to classify text and non-text region. The second one is to regress offsets from certain points in the text region to their corresponding center lines, and the last one is to regress normalized distance from points to text boundary.