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 …

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 …

Recently, models based on deep neural networks have dominated the fields of scene text
detection and recognition. In this paper, we investigate the problem of scene text spotting …

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection
in natural scene images. We present the Rotation Region Proposal Networks, which are …

Previous deep learning based state-of-the-art scene text detection methods can be roughly
classified into two categories. The first category treats scene text as a type of general objects …

Visual appearance is considered to be the most important cue to understand images for
cross-modal retrieval, while sometimes the scene text appearing in images can provide …

Recently, end-to-end text spotting that aims to detect and recognize text from cluttered
images simultaneously has received particularly growing interest in computer vision …

Fine-grained image classification methods often suffer from the challenge that the
subordinate categories within an entry-level category can only be distinguished by subtle …

Abstract Visual Question Answering (VQA) is a multi-disciplinary research problem that has
captured the attention of both computer vision as well as natural language processing …

Understanding the surrounding scenes is one of the fundamental tasks in intelligent
transportation systems (ITS), especially in unpredictable driving scenes or in developing …