The field of machine learning is going through its golden era. Deep Learning, the subfield of
Machine Learning has seen amazing applications in various areas. The perception of …

With the ever-increasing volume of digital images available online, it has become important
to identify similar images quickly and accurately across a variety of domains. Perceptual …

The Convolutional Neural Network (CNN) is an object classification method that has been
widely used in recent research. In this paper, we propose CNN for use in the self-localization …

Due to the Internet revolution, search engines have become an inevitable part of our
everyday life. However, retrieving required information in the form of text and images is still a …

In the past few decades, with the continuous progress in devices and research, both
hyperspectral imaging technology and three-dimensional reconstruction techniques have …

In this work, we present an approach based on multilevel local as well as global
Convolutional Neural Network (CNN) feature matching to retrieve near duplicate images …