Residential Collegefalse
Status已發表Published
AnyTrans: Translate AnyText in the Image with Large Scale Models
Zhipeng Qian1; Pei Zhang2; Baosong Yang2; Kai Fan2; Yiwei Ma1; Derek F. Wong3; Xiaoshuai Sun1; Rongrong Ji1
2024-11
Conference NameThe 2024 Conference on Empirical Methods in Natural Language Processing
Source PublicationFindings of the Association for Computational Linguistics: EMNLP 2024
Conference Date2024-11-12
Conference PlaceMiami, Florida
CountryUS
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University
2.Alibaba Group Inc
3.NLP2CT Lab, University of Macau
Recommended Citation
GB/T 7714
Zhipeng Qian,Pei Zhang,Baosong Yang,et al. AnyTrans: Translate AnyText in the Image with Large Scale Models[C], 2024.
APA Zhipeng Qian., Pei Zhang., Baosong Yang., Kai Fan., Yiwei Ma., Derek F. Wong., Xiaoshuai Sun., & Rongrong Ji (2024). AnyTrans: Translate AnyText in the Image with Large Scale Models. Findings of the Association for Computational Linguistics: EMNLP 2024.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhipeng Qian]'s Articles
[Pei Zhang]'s Articles
[Baosong Yang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhipeng Qian]'s Articles
[Pei Zhang]'s Articles
[Baosong Yang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhipeng Qian]'s Articles
[Pei Zhang]'s Articles
[Baosong Yang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.