212 citations · 419 across the 21 of their papers we have counts for
6 papers · 1 filter
Scene Text Detection with Supervised Pyramid Context Network
Enze Xie, Yuhang Zang, Shuai Shao +3
Scene text detection methods based on deep learning have achieved remarkable results over the past years. However, due to the high diversity and complexity of natural scenes, previ…
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long, Xin He, Cong Yao
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 detecti…
Scene Text Recognition from Two-Dimensional Perspective
Minghui Liao, Jian Zhang, Zhaoyi Wan +5
Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text recognition as a sequence prediction problem. Though achieving excellent performance,…
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Pengyuan Lyu, Minghui Liao, Cong Yao +2
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,…
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
Shangbang Long, Jiaqiang Ruan, Wenjie Zhang +3
Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously refreshing the performance rec…
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
Pengyuan Lyu, Cong Yao, Wenhao Wu +2
Previous deep learning based state-of-the-art scene text detection methods can be roughly classified into two categories. The first category treats scene text as a type of general…