48 citations · 87 across the 8 of their papers we have counts for
9 papers · 1 filter
HierCode: A Lightweight Hierarchical Codebook for Zero-shot Chinese Text Recognition
Yuyi Zhang, Yuanzhi Zhu, Dezhi Peng +5
Text recognition, especially for complex scripts like Chinese, faces unique challenges due to its intricate character structures and vast vocabulary. Traditional one-hot encoding m…
Conditional Text Image Generation with Diffusion Models
Yuanzhi Zhu, Zhaohai Li, Tianwei Wang +2
Current text recognition systems, including those for handwritten scripts and scene text, have relied heavily on image synthesis and augmentation, since it is difficult to realize…
SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text
Canjie Luo, Yuanzhi Zhu, Lianwen Jin +2
Large amounts of labeled data are urgently required for the training of robust text recognizers. However, collecting handwriting data of diverse styles, along with an immense lexic…
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter
Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5
Text recognition is a popular research subject with many associated challenges. Despite the considerable progress made in recent years, the text recognition task itself is still co…
Text Recognition in the Wild: A Survey
Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu +2
The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scena…
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
Canjie Luo, Yuanzhi Zhu, Lianwen Jin +1
Handwritten text and scene text suffer from various shapes and distorted patterns. Thus training a robust recognition model requires a large amount of data to cover diversity as mu…
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…
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…
Aggregation Cross-Entropy for Sequence Recognition
Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu +3
In this paper, we propose a novel method, aggregation cross-entropy (ACE), for sequence recognition from a brand new perspective. The ACE loss function exhibits competitive perform…