Authors: Qiang Zeng(曾强)，Zhaolin You(游照林)，Yuanyuan Chen(陈媛媛)，Jianping Xiong(熊剑平)

Affiliation: ZHEJIANG DAHUA TECHNOLOGY CO.,LTD

Description: Our training data included ReCTS, LSVT, RCTW, ART and some high-quality artificial synthetic data. We used the CRNN framework for text recognition, and different structures of multi-scale feature extraction backbone such as SA-ResNet, SE-ResNet were used.We used an efficient shuffle attention method which combine spatial attention with channel attention.Meanwhile we used multi-model fusion to predict the final result.