Weak supervision for generating pixel–level annotations in scene text segmentation

Fused Text Segmentation Networks for Multi-oriented Scene Text Detection

In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instanceaware segmentation perspective. We present Fused Text Segmentation Networks, which combine multi-level features during feature extracting as text instance may rely on finer feature expression compared to general objects. It detects and segments the text instance jointly and simultaneous...

PixelLink: Detecting Scene Text via Instance Segmentation

Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/nontext classification and location regression. Regression plays a key role in the acquisition of bounding boxes in these methods, but it is not indispensable because text/non-text prediction can also be considered as a ...

Towards Understanding Situated Text: Concept Labeling and Weak Supervision

Much of the focus of the natural language processing community lies in solving syntactic or semantic tasks with the aid of sophisticated machine learning algorithms and the encoding of linguistic prior knowledge. One of the most important features of natural languages is that their real-world use (as a tool for humans) is to communicate something about our physical reality or metaphysical consi...

Application of Planar Motion Segmentation for Scene Text Extraction

This paper explores an approach for extracting scene text from a sequence of images with relative motion between the camera and the scene. It is assumed that the scene text lies on planar surfaces, whereas the other features are likely to be at random depths or undergoing independent motion. The motion model parameters of these planar surfaces are estimated using gradient based methods, and mul...

A New Segmentation Technique for Omnifont Farsi Text