Human feelings expressed through verbal (eg voice) and non-verbal communication
channels (eg face or body) can influence either human actions or interactions. In the …

Scene recognition is a challenging problem due to intra-class variations and inter-class
similarities. Traditional methods and convolutional neural networks (CNN) represent the …

Background modeling is a crucial step in various computer vision applications such as video
surveillance, object tracking, and moving object detection. Classifying image pixels as …

Vaccination for the COVID-19 pandemic has raised serious concerns among the public and
various rumours are spread regarding the resulting illness, adverse reactions, and death …

In the heavy asset industry, such as oil & gas, offshore personnel need to locate various
equipment on the installation on a daily basis for inspection and maintenance purposes …

Scene recognition is an important and challenging task in the field of computer vision.
Current research typically focuses on local features in scene images by utilizing pretrained …

Ensemble learning constructs strong classifiers by training multiple weak classifiers, and is
widely used in text classification field. In order to improve the text classification accuracy, a …

Remote sensing image object detection is a challenging task with a focus on detection
accuracy. In the object detection task of remote sensing images, scenes often contain …

This article investigates whether higher classification accuracy can always be achieved by
utilizing a pre-trained deep learning model as the feature extractor in the Bag-of-Deep …

Bag-of-Deep-Visual-Words (BoDVW) model has shown its advantage over Convolutional
Neural Network (CNN) model in image classification tasks with a small number of training …