5 citations · 14 across the 7 of their papers we have counts for
5 papers · 1 filter
Multi-Objective Evolutionary for Object Detection Mobile Architectures Search
Haichao Zhang, Jiashi Li, Xin Xia +2
Recently, Neural architecture search has achieved great success on classification tasks for mobile devices. The backbone network for object detection is usually obtained on the ima…
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…