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 …

Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …

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 …

Driven by deep learning and a large volume of data, scene text recognition has evolved
rapidly in recent years. Formerly, RNN-attention-based methods have dominated this field …

We propose an end-to-end trainable network that can simultaneously detect and recognize
text of arbitrary shape, making substantial progress on the open problem of reading scene …

Scene text recognition has attracted a great many researches due to its importance to
various applications. Existing methods mainly adopt recurrence or convolution based …

Abstract Domain adaptation has shown promising advances for alleviating domain shift
problem. However, recent visual domain adaptation works usually focus on non-sequential …

Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …

We address the problem of image feature learning for scene text recognition. The image
features in the state-of-the-art methods are learned from large-scale synthetic image …

Recent dominant approaches for scene text recognition are mainly based on convolutional
neural network (CNN) and recurrent neural network (RNN), where the CNN processes …