method: Unis_OCR2021-05-08

Authors: Jie.Li(李杰),BaoLin.Zhang(张保林),KeJie.Liu(刘克捷),Yuan.Hu(胡源)

Affiliation: UNISINSIGHT

Description: First, the training method is based on crnn framework, which takes SE-ResNet with multi-scale features as the backbone, and uses the BiLSTM and attention mechanism to integrate multiple model results. At the same time, the training data used include LSVT, ReCTS, RCTW, ArT and other public free data.