5 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
Vision Transformer with Convolutions Architecture Search
Haichao Zhang, Kuangrong Hao, Witold Pedrycz +3
Transformers exhibit great advantages in handling computer vision tasks. They model image classification tasks by utilizing a multi-head attention mechanism to process a series of…
Enhanced Gradient for Differentiable Architecture Search
Haichao Zhang, Kuangrong Hao, Lei Gao +2
In recent years, neural architecture search (NAS) methods have been proposed for the automatic generation of task-oriented network architecture in image classification. However, th…
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images
Bing Wei, Kuangrong Hao, Lei Gao
For the sake of recognizing and classifying textile defects, deep learning-based methods have been proposed and achieved remarkable success in single-label textile images. However,…
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent
Haichao Zhang, Kuangrong Hao, Lei Gao +2
Deep neural networks (DNNs) have achieved remarkable success in computer vision; however, training DNNs for satisfactory performance remains challenging and suffers from sensitivit…