Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …

The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

We study on joint learning of Convolutional Neural Network (CNN) and Transformer for
vision-language pre-training (VLPT) which aims to learn cross-modal alignments from …

Abstract “Art is the lie that enables us to realize the truth.”–Pablo Picasso. For centuries,
humans have dedicated themselves to producing arts to convey their imagination. The …

Due to the real working conditions, the collected mechanical fault datasets are actually
limited and always highly imbalanced, which restricts the diagnosis accuracy and stability …

Large Vision-Language Models (LVLMs) show significant strides in general-purpose
multimodal applications such as visual dialogue and embodied navigation. However …

What are the psychological factors driving attitudes toward artificial intelligence (AI) tools,
and how can resistance to AI systems be overcome when they are beneficial? Here we first …

People say," A picture is worth a thousand words". Then how can we get the rich information
out of the image? We argue that by using visual clues to bridge large pretrained vision …

Over the past few years, adversarial training has become an extremely active research topic
and has been successfully applied to various Artificial Intelligence (AI) domains. As a …

Abstract The Generative Adversarial Networks, as one of the most creative deep learning
models in recent years, has achieved great success in computer vision and natural …