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 …

A challenging aspect of scene text recognition is to handle text with distortions or irregular
layout. In particular, perspective text and curved text are common in natural scenes and are …

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 …

Scene text detection and recognition have been well explored in the past few years. Despite
the progress, efficient and accurate end-to-end spotting of arbitrarily-shaped text remains …

Automated recognition of texts in scenes has been a research challenge for years, largely
due to the arbitrary text appearance variation in perspective distortion, text line curvature …

End-to-end text-spotting, which aims to integrate detection and recognition in a unified
framework, has attracted increasing attention due to its simplicity of the two complimentary …

Current visual question answering datasets do not consider the rich semantic information
conveyed by text within an image. In this work, we present a new dataset, ST-VQA, that aims …

Text in natural images is of arbitrary orientations, requiring detection in terms of oriented
bounding boxes. Normally, a multi-oriented text detector often involves two key tasks: 1) text …

Recent end-to-end trainable methods for scene text spotting, integrating detection and
recognition, showed much progress. However, most of the current arbitrary-shape scene text …