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ICCV (2019), 9125--9135."},{"key":"e_1_3_2_2_76_1","doi-asserted-by":"crossref","unstructured":"Xiao Yang Dafang He Zihan Zhou Daniel Kifer and C Lee Giles. 2017. Learning to Read Irregular Text with Attention Mechanisms. In IJCAI. ijcai.org 3280--3286. Xiao Yang Dafang He Zihan Zhou Daniel Kifer and C Lee Giles. 2017. Learning to Read Irregular Text with Attention Mechanisms. In IJCAI. ijcai.org 3280--3286.","DOI":"10.24963\/ijcai.2017\/458"},{"volume-title":"Towards accurate scene text recognition with semantic reasoning networks","author":"Yu Deli","key":"e_1_3_2_2_77_1","unstructured":"Deli Yu , Xuan Li , Chengquan Zhang , Tao Liu , Junyu Han , Jingtuo Liu , and Errui Ding . 2020. Towards accurate scene text recognition with semantic reasoning networks . In CVPR. IEEE , 12110--12119. Deli Yu, Xuan Li, Chengquan Zhang, Tao Liu, Junyu Han, Jingtuo Liu, and Errui Ding. 2020. Towards accurate scene text recognition with semantic reasoning networks. In CVPR. 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Image-based table recognition: data, model, and evaluation. In ECCV. Springer, 564--580."},{"key":"e_1_3_2_2_81_1","volume-title":"EAST: An efficient and accurate scene text detector","author":"Zhou Xinyu","year":"2017","unstructured":"Xinyu Zhou , Cong Yao , He Wen , Yuzhi Wang , Shuchang Zhou , Weiran He , and Jiajun Liang . 2017 . EAST: An efficient and accurate scene text detector . In CVPR. IEEE , 5551--5560. Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, and Jiajun Liang. 2017. EAST: An efficient and accurate scene text detector. In CVPR. IEEE, 5551--5560."},{"key":"e_1_3_2_2_82_1","doi-asserted-by":"crossref","unstructured":"Yu Zhou Hongtao Xie Shancheng Fang JingWang Zhengjun Zha and Yongdong Zhang. 2021. TDI TextSpotter: Taking Data Imbalance into Account in Scene Text Spotting. In MM. ACM 2510--2518. Yu Zhou Hongtao Xie Shancheng Fang JingWang Zhengjun Zha and Yongdong Zhang. 2021. 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