Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …

Localizing text in the wild is challenging in the situations of complicated geometric layout of
the targets like random orientation and large aspect ratio. In this paper, we propose a …

Scene text detection is attracting more and more attention and has become an important
topic in machine vision research. With the development of mobile IoT (Internet of things) and …

Scene text detection, this task of detecting text from real images, is a hot research topic in the
machine vision community. Most of the current research is based on an anchor box. These …

An outside mutual correction (OMC) algorithm for natural scene text detection using multibox
and semantic segmentation was developed. In the OMC algorithm, semantic segmentation …

摘要本文对自然场景文本检测问题及其方法的研究进展进行了综述. 首先,
论述了自然场景文本的特点, 自然场景文本检测技术的研究背景, 现状以及主要技术路线. 其次 …

Deep learning text detection is generally divided into two steps: prediction candidate box of
depth model and post-processing, and post-processing usually uses NMS or prediction box …

Scene texts serve as valuable information for humans and autonomous systems to make
informed decisions. Processing scene texts poses significant difficulties for computer …

Scene text detection, this task of detecting text from real images, is a hot research topic in the
machine vision community. Most of the current research is based on an anchor box. These …

针对现有文本定位方法应用于列车车号易出现定位边界不紧凑, 面积占比小的车号漏检率高的
问题, 提出一种面向小尺度目标精确定位的列车车号定位与识别方法. 其基于CTPN 改进 …