With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …

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 …

Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively
model linguistic rules in end-to-end deep networks remains a research challenge. In this …

Scene text image contains two levels of contents: visual texture and semantic information.
Although the previous scene text recognition methods have made great progress over the …

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 …

Scene text recognition is a hot research topic in computer vision. Recently, many recognition
methods based on the encoder-decoder framework have been proposed, and they can …

The attention-based encoder-decoder framework has recently achieved impressive results
for scene text recognition, and many variants have emerged with improvements in …

Artistic text recognition is an extremely challenging task with a wide range of applications.
However, current scene text recognition methods mainly focus on irregular text while have …

Handwritten mathematical expression recognition (HMER) is a challenging task that has
many potential applications. Recent methods for HMER have achieved outstanding …

Scene text spotting is of great importance to the computer vision community due to its wide
variety of applications. Recent methods attempt to introduce linguistic knowledge for …