From two to one: A new scene text recognizer with visual language modeling network

Y Wang, H Xie, S Fang, J Wang… - Proceedings of the …, 2021 - openaccess.thecvf.com
In this paper, we abandon the dominant complex language model and rethink the linguistic
learning process in the scene text recognition. Different from previous methods considering …

[PDF][PDF] From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

Y Wang, H Xie, S Fang, J Wang, S Zhu, Y Zhang - openaccess.thecvf.com
In this paper, we abandon the dominant complex language model and rethink the linguistic
learning process in the scene text recognition. Different from previous methods considering …

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

Y Wang, H Xie, S Fang, J Wang, S Zhu… - arXiv e …, 2021 - ui.adsabs.harvard.edu
In this paper, we abandon the dominant complex language model and rethink the linguistic
learning process in the scene text recognition. Different from previous methods considering …

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

Y Wang, H Xie, S Fang, J Wang, S Zhu… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
In this paper, we abandon the dominant complex language model and rethink the linguistic
learning process in the scene text recognition. Different from previous methods considering …

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

Y Wang, H Xie, S Fang, J Wang, S Zhu… - 2021 IEEE/CVF …, 2021 - computer.org
In this paper, we abandon the dominant complex language model and rethink the linguistic
learning process in the scene text recognition. Different from previous methods considering …

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

Y Wang, H Xie, S Fang, J Wang, S Zhu… - arXiv preprint arXiv …, 2021 - arxiv.org
In this paper, we abandon the dominant complex language model and rethink the linguistic
learning process in the scene text recognition. Different from previous methods considering …