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 …

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 …

Scene text detection is an important step in the scene text reading system. The main
challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and …

Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text
recognition as a sequence prediction problem. Though achieving excellent performance …

Reading text in the wild is a very challenging task due to the diversity of text instances and
the complexity of natural scenes. Recently, the community has paid increasing attention to …

Over the past few years, the field of scene text detection has progressed rapidly that modern
text detectors are able to hunt text in various challenging scenarios. However, they might still …

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 …

Arbitrary shape text detection is a challenging task due to the significantly varied sizes and
aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc. Due to the …

Most existing traffic sign-related works are dedicated to detecting and recognizing part of
traffic signs separately, which fails to analyze the global semantic logic among signs and …

In this paper, we propose a novel text-based traffic sign detection framework with two deep
learning components. More precisely, we apply a fully convolutional network to segment …