2 citations · 3 across the 4 of their papers we have counts for
6 papers · 1 filter
Scene Text Recognition with Single-Point Decoding Network
Lei Chen, Haibo Qin, Shi-Xue Zhang +2
In recent years, attention-based scene text recognition methods have been very popular and attracted the interest of many researchers. Attention-based methods can adaptively focus…
Open-set Text Recognition via Character-Context Decoupling
Chang Liu, Chun Yang, Xu-Cheng Yin
The open-set text recognition task is an emerging challenge that requires an extra capability to cognize novel characters during evaluation. We argue that a major cause of the limi…
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
Shi-Xue Zhang, Xiaobin Zhu, Chun Yang +2
Arbitrary shape text detection is a challenging task due to the high complexity and variety of scene texts. In this work, we propose a novel adaptive boundary proposal network for…
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
Song-Lu Chen, Shu Tian, Jia-Wei Ma +4
License plate detection is the first and essential step of the license plate recognition system and is still challenging in real applications, such as on-road scenarios. In particu…
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question Answering
Zan-Xia Jin, Heran Wu, Chun Yang +4
Text-based visual question answering (VQA) requires to read and understand text in an image to correctly answer a given question. However, most current methods simply add optical c…
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou +4
Arbitrary shape text detection is a challenging task due to the high variety and complexity of scenes texts. In this paper, we propose a novel unified relational reasoning graph ne…