48 citations · 166 across the 19 of their papers we have counts for
7 papers · 1 filter
Decoupled Attention Network for Text Recognition
Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5
Text recognition has attracted considerable research interests because of its various applications. The cutting-edge text recognition methods are based on attention mechanisms. How…
Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection
Yuliang Liu, Tong He, Hao Chen +5
Multi-orientation scene text detection has recently gained significant research attention. Previous methods directly predict words or text lines, typically by using quadrilateral s…
ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT
Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9
Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a challenging scenario heavi…
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)
Chee-Kheng Chng, Yuliang Liu, Yipeng Sun +11
This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recogn…
Adaptive Embedding Gate for Attention-Based Scene Text Recognition
Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu +2
Scene text recognition has attracted particular research interest because it is a very challenging problem and has various applications. The most cutting-edge methods are attention…
Tightness-aware Evaluation Protocol for Scene Text Detection
Yuliang Liu, Lianwen Jin, Zecheng Xie +3
Evaluation protocols play key role in the developmental progress of text detection methods. There are strict requirements to ensure that the evaluation methods are fair, objective…
A Multi-Object Rectified Attention Network for Scene Text Recognition
Canjie Luo, Lianwen Jin, Zenghui Sun
Irregular text is widely used. However, it is considerably difficult to recognize because of its various shapes and distorted patterns. In this paper, we thus propose a multi-objec…