The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …

With the rapid development of aerospace and various remote sensing platforms, the amount
of data related to remote sensing is increasing rapidly. To meet the application requirements …

Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …

In this paper, we propose GlyphGAN: style-consistent font generation based on generative
adversarial networks (GANs). GANs are a framework for learning a generative model using …

The superpixel-based multiple kernels model uses the average value of all pixels within
superpixel as the spatial feature, which results in inaccurate extraction of edge pixels. To …

With the increasing number of remote sensing (RS) data sources, the joint utilization of
multimodal data in Earth observation tasks has become a crucial research topic. As a typical …

Being the basis on which several languages of the world are built, the historical relevance of
the basic Arabic characters cannot be overemphasized. Unique in its many similar …

A class imbalance problem occurs when a dataset is decomposed into one majority class
and one minority class. This problem is critical in the machine learning domains because it …

Generating an RGB image from a sketch is a challenging and interesting topic. This paper
proposes a method to transform a face sketch into a color image based on generation …