Abstract:

Scene text detection plays an important role in understanding scenes for machine. With the development of deep learning in recent years, the methods for scene text detection also change rapidly and achieve good results. The deep learning based scene text detection methods and the corresponding advantages and drawbacks are summarized, which are classified into regression based, segmentation based, and mixed detection methods. The public datasets and metric for performance are introduced. the future trends and some research direction of scene text detection are also discussed.

Key words: deep learning, scene text, text detection

摘要：

自然场景文本检测对于机器理解场景等有着重要作用。近年来，随着深度学习的发展，自然场景文字检测方法也日新月异，取得了很好的检测效果。分析、总结了近年来基于深度学习的场景文字检测方法，将其归纳分类为基于回归、基于分割，以及两者混合三种类型，并对各类检测方法的优缺点进行了对比分析。介绍了场景文本检测性能指标及常用的公开数据集以及下载方式。对场景文字检测领域研究进行总结和展望，有望为深度学习场景文本检测方法提供新的研究方向。

关键词: 深度学习, 场景文字, 文字检测