As an effective tool for eliciting the power of Large Language Models (L...
Hyperspectral target detection is good at finding dim and small objects ...
This work deals with the CPU-GPU heterogeneous code acceleration of a
fi...
Large Transformers have achieved state-of-the-art performance across man...
A big convergence of model architectures across language, vision, speech...
The end-user programming of social robot behavior is usually limited by ...
The coming quantum computation is forcing us to reexamine the cryptosyst...
Cross-domain few-shot meta-learning (CDFSML) addresses learning problems...
In this paper, we propose a simple yet effective method to stabilize
ext...
Making topological authentication from theory to practical application i...
Topological Coding consists of two different kinds of mathematics:
topol...
With the acceleration of the pace of work and life, people have to face ...
Since 2014, very deep convolutional neural networks have been proposed a...
We propose a novel neural network architecture, called
autoencoder-const...
In this paper, a robust multiscale neural network is proposed to recogni...
A mathematical topology with matrix is a natural representation of a cod...
Presently, deep learning technology has been widely used in the field of...
Graphical passwords (GPWs) are in many areas of the current world.
Topol...
Offline handwritten mathematical expression recognition is a challenging...
Topological graphic passwords (Topsnut-gpws) are one of graph-type passw...
Graphical passwords (GPWs) are convenient for mobile equipments with tou...
Computer-aided techniques may lead to more accurate and more acces-sible...
Graphical passwords (GPWs) have been studied over 20 years. We are motiv...
In this paper we propose an effective non-rigid object tracking method b...
In this paper, we propose a novel feature learning framework for video p...
Deep convolutional neural networks (CNNs) have delivered superior perfor...
Fully convolutional neural networks (FCNs) have shown outstanding perfor...
One impressive advantage of convolutional neural networks (CNNs) is thei...