method: TextFuseNet (ResNet-50)2021-03-26

Authors: Jian Ye, Zhe Chen, Juhua Liu, Bo Du

Affiliation: Wuhan University, The University of Sydney

Email: leaf-yej@whu.edu.cn

Description: This is a preliminary evaluation result of TextFuseNet with ResNet50-FPN. Multi-scale training and single-scale testing are used to get the final results. Sigma Lab, Wuhan University.

TextFuseNet: Scene Text Detection with Richer Fused Features.

Source code