Abstract Intelligent Transportation System (ITS), including unmanned vehicles, has been
gradually matured despite on road. How to eliminate the interference due to various …

In this article, we detect and track visual objects by using Siamese network or twin neural
network. The Siamese network is constructed to classify moving objects based on the …

Pattern classification has always been essential in computer vision. Transformer paradigm
having attention mechanism with global receptive field in computer vision improves the …

Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …

Abstract In New Zealand (NZ), agriculture is an essential industry, Kiwifruits contribute
significantly to the country's overall exports. Traditionally Kiwifruits require manually picking …

Over the past two decades, automatic facial emotion recognition has received enormous
attention. This is due to the increase in the need for behavioral biometric systems and …

In this paper, digital images related to five kinds of leaves which are available at New
Zealand are collected as our dataset, two deep learning models, namely, Faster R-CNN and …

The first edition of this textbook was published in 2021. Over the past two years, we have
invested in enhancing all aspects of deep learning methods to ensure the book is …

In recent years, deep learning has become the most popular research direction. It mainly
trains the dataset through neural networks. There are many different models that can be …

The goal of human action recognition is to identify and understand the actions of people in
videos and export corresponding tags. In addition to spatial correlation existing in 2D …