In the era of large-scale language models, the substantial parameter siz...
The UNet architecture, based on Convolutional Neural Networks (CNN), has...
Deep neural networks generally perform poorly with datasets that suffer ...
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodrom...
Deep convolutional neural network (DCNN) models have been widely explore...
Although deep convolutional neural networks (DCNNs) have achieved signif...
Self-attention (SA) network has shown profound value in image captioning...
This document describes our solution for the VATEX Captioning Challenge ...