Authors: Yuliang Liu, Hao Chen, Shuaitao Zhang, Lele Xie, Dezhi Peng, Weihong Ma, Tong He, Chongyu Liu, Xiangle Chen, Canjie Luo, Qingxiang Lin, Lianwen Jin, Chunhua Shen, Yaqiang Wu, Liangwei Wang

Description: This method utilizes a sequential-free box dicretization method to localize the text instances. Only public datasets are used for pre-training, including LSVT, ArT and MLT. Multi-scale testing and model ensemble are used to generate the final result. The result is submitted by the researchers from South China University of Technology, Northwestern Polytechnical University, The University of Adelaide, Lenovo and Huawei. The researchers are Yuliang Liu, Hao Chen, Shuaitao Zhang, Lele Xie, Dezhi Peng, Weihong Ma, Tong He, Chongyu Liu, Xiangle Chen, Canjie Luo, Qingxiang Lin, Lianwen Jin, Chunhua Shen, Yaqiang Wu and Liangwei Wang.

单位：华南理工大学，阿德莱德大学，西北工业大学，联想，华为。
作者：刘禹良，陈昊，张帅涛，谢乐乐，彭德智，马伟洪，贺通，刘崇宇，陈向乐，罗灿杰，林庆祥，金连文，沈春华，武亚强，王靓伟。

Authors: 俸亚特 姬国淞 王少琨 （Yate Feng，Guosong Ji, Shaokun Wang)

Description: 桂林电子科技大学 (Guilin University Of Electronic Technology)
model trained by textboxes++（tensorflow）with 210000 iteration，test by < 0.7 nms and > 0.1 score. this textboxes++ edition is only use Rectangle detect boxes.