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Scene text recognition via dual character counting-aware visual and semantic modeling network

文献类型：期刊论文

作者Xiao, Ke1; Zhu, Anna1; Iwana, Brian Kenji2; Liu, Cheng-Lin3,4
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期2024-03-01
卷号67期号:3页码:2
ISSN号1674-733X
DOI10.1007/s11432-023-3935-8
通讯作者Zhu, Anna(annazhu@whut.edu.cn)
英文摘要ConclusionIn this work, we study character counting in STR from a new viewpoint, giving a principled framework showing that the counting information is involved in both visual decoding and semantic decoding. Based on the principled framework, we propose a novel scene text recognizer with a dual character counting-aware visual and semantic modeling network, where the counting information is fused in both vision and language branches. Experimental results demonstrate the effectiveness of our model.
资助项目Open Project Program of the National Laboratory of Pattern Recognition (NLPR)[202200049]
WOS研究方向Computer Science ; Engineering
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:001159964100002
资助机构Open Project Program of the National Laboratory of Pattern Recognition (NLPR)
源URL[http://ir.ia.ac.cn/handle/173211/55355]  
专题多模态人工智能系统全国重点实验室
通讯作者Zhu, Anna
作者单位1.Wuhan Univ Technol, Sch Comp Sci & Artificial Intelligence, Wuhan 430070, Peoples R China
2.Kyushu Univ, Human Interface Lab, Fukuoka 8190395, Japan
3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Xiao, Ke,Zhu, Anna,Iwana, Brian Kenji,et al. Scene text recognition via dual character counting-aware visual and semantic modeling network[J]. SCIENCE CHINA-INFORMATION SCIENCES,2024,67(3):2.
APA Xiao, Ke,Zhu, Anna,Iwana, Brian Kenji,&Liu, Cheng-Lin.(2024).Scene text recognition via dual character counting-aware visual and semantic modeling network.SCIENCE CHINA-INFORMATION SCIENCES,67(3),2.
MLA Xiao, Ke,et al."Scene text recognition via dual character counting-aware visual and semantic modeling network".SCIENCE CHINA-INFORMATION SCIENCES 67.3(2024):2.

入库方式： OAI收割

来源：自动化研究所

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