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 …

Previous approaches for scene text detection have already achieved promising
performances across various benchmarks. However, they usually fall short when dealing …

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection
in natural scene images. We present the Rotation Region Proposal Networks, which are …

We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes
text lines in natural image. The CTPN detects a text line in a sequence of fine-scale text …

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 …

This paper presents an end-to-end trainable fast scene text detector, named TextBoxes,
which detects scene text with both high accuracy and efficiency in a single network forward …

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 …

In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for
detecting arbitrary-oriented texts in natural scene images. The framework is based on Faster …

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 …

In this paper, we propose an unconventional approach for text detection in natural images.
Both global and local cues are taken into account for localizing text lines in a coarse-to-fine …