Abstract Scene Text Recognition (STR) task needs to consume large-amount data to
develop a powerful recognizer, including visual data like images and linguistic data like …

Scene text recognition (STR) plays an important role in various computer vision activities.
STR has been a desirable research topic in the computer community, and deep learning …

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 …

Scene text recognition has become a research hotspot owing to its abundant semantic
information and various applications. Recent methods of scene text recognition usually …

Scene text recognition, the final step of the scene text reading system, has made impressive
progress based on deep neural networks. However, existing recognition methods devote to …

Scene text recognition (STR), one typical sequence-to-sequence problem, has drawn much
attention recently in multimedia applications. To guarantee good performance, it is essential …

Scene Text Recognition (STR), the critical step in OCR systems, has attracted much
attention in computer vision. Recent research on modeling textual semantics with Language …

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-object rectified …

Scene text recognition is a challenging task in the computer vision field due to the diversity
of text styles and the complexity of the image backgrounds. In recent decades, numerous …

Nowadays, scene text recognition has attracted more and more attention due to its various
applications. Most state-of-the-art methods adopt an encoder-decoder framework with …