Estimating the pose of an uncooperative spacecraft is an important computer vision problem
for enabling the deployment of automatic vision-based systems in orbit, with applications …

Multimodal learning provides a path to fully utilize all types of information related to the
modeling target to provide the model with a global vision. Zero‐shot learning (ZSL) is a …

In the current industrial landscape, a significant number of sectors are grappling with the
challenges posed by unstructured data, which incurs financial losses amounting to millions …

Traffic Sign Recognition (TSR) is an essential component of Intelligent Transportation
Systems (ITS) and intelligent vehicles. TSR systems based on deep learning have grown in …

With the development of the Internet, e-learning has become a new trend for education.
However, unlike traditional learning that is face-to-face, e-learning systems construct an …

The ability of human beings to recognize novel concepts has attracted significant attention in
the research community. Zero-shot learning, also known as zero-data learning, seeks to …

Zero-shot learning is an essential paradigm for learning novel concepts, ie, those whose
instances were unavailable during training. Dictionary learning approaches have shown …

This paper presents a novel adaptive anisotropic diffusion filtered deep neural network
(AADF-DNN) model for achieving effective image classification with increase the accuracy …

In the context of high-speed trains (HST) bogie fault diagnosis, most existing state-of-the-art
approaches struggle to effectively identify engineering fault types that lack historical records …

AdaBelief fully utilizes “belief” to iteratively update the parameters of deep neural networks.
However, the reliability of the “belief” is determined by the gradient's prediction accuracy …