Scene text detection and recognition have been given a lot of attention in recent years and
have been used in many vision-based applications. In this field, there are various types of …

Detection and recognition of text in natural images are two main problems in the field of
computer vision that have a wide variety of applications in analysis of sports videos …

Effectively modeling long spatiotemporal sequences is challenging due to the need to model
complex spatial correlations and long-range temporal dependencies simultaneously …

Forecasting stock market indexes is an important issue for market participants, because
even a small improvement in forecast accuracy may lead to better trading decisions than …

Scene text recognition is a challenging task due to the complex backgrounds and diverse
variations of text instances. In this paper, we propose a novel Semantic GAN and Balanced …

Automatic text detection and recognition (end-to-end text recognition) in real-life images are
the main elements of many applications including blind and low vision assistance systems …

Background DNA N4-methylcytosine is part of the restrictive modification system, which
works by regulating some biological processes, for example, the initiation of DNA …

Unlike existing models that aim to address the challenge of scene text detection and
recognition separately, the proposed work aims to address both text detection and …

Abstract Background and Objective Accurate segmentation of skin lesions is a pivotal step in
dermoscopy image classification, which provides a powerful means for dermatologists to …

Understanding the movement patterns of humans and vehicles traveling in a city is important
for many applications like emergency evacuation and rescue, as well as city planning and …