Recently, segmentation-based scene text detection methods have drawn extensive attention
in the scene text detection field, because of their superiority in detecting the text instances of …

In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

Recently, segmentation-based methods are quite popular in scene text detection, as the
segmentation results can more accurately describe scene text of various shapes such as …

Automated recognition of texts in scenes has been a research challenge for years, largely
due to the arbitrary text appearance variation in perspective distortion, text line curvature …

Arbitrary shape text detection is a challenging task due to the high variety and complexity of
scenes texts. In this paper, we propose a novel unified relational reasoning graph network …

State-of-the-art scene text detection methods usually model the text instance with local
pixels or components from the bottom-up perspective and, therefore, are sensitive to noises …

Arbitrary shape text detection is a challenging task due to the high complexity and variety of
scene texts. In this work, we propose a novel adaptive boundary proposal network for …

Context is essential for semantic segmentation. Due to the diverse shapes of objects and
their complex layout in various scene images, the spatial scales and shapes of contexts for …

Arbitrary shape text detection in natural scenes is an extremely challenging task. Unlike
existing text detection approaches that only perceive texts based on limited feature …

Arbitrary shape text detection is a challenging task due to the significantly varied sizes and
aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc. Due to the …