  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 detection and recognition has been inescapably
influenced by this wave of revolution, consequentially entering the era of deep
learning. In recent years, the community has witnessed substantial advancements
in mindset, approach and performance. This survey is aimed at summarizing and
analyzing the major changes and significant progresses of scene text detection
and recognition in the deep learning era. Through this article, we devote to:
(1) introduce new insights and ideas; (2) highlight recent techniques and
benchmarks; (3) look ahead into future trends. Specifically, we will emphasize
the dramatic differences brought by deep learning and the grand challenges
still remained. We expect that this review paper would serve as a reference
book for researchers in this field. Related resources are also collected and
compiled in our Github repository: https://github.com/Jyouhou/SceneTextPapers.
