Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

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 …

Driven by deep neural networks and large scale datasets, scene text detection methods
have progressed substantially over the past years, continuously refreshing the performance …

Scene text detection is an important step of scene text recognition system and also a
challenging problem. Different from general object detections, the main challenges of scene …

Previous approaches for scene text detection have already achieved promising
performances across various benchmarks. However, they usually fall short when dealing …

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 adversarial learning research has achieved very impressive progress for modelling
cross-domain data shifts in appearance space but its counterpart in modelling cross-domain …

Arbitrary shape text detection is a challenging task due to the high variety and complexity of
scenes texts. In this paper, we propose a novel unified relational reasoning graph network …

Scene text detection has witnessed rapid development in recent years. However, there still
exists two main challenges: 1) many methods suffer from false positives in their text …