10 citations · 30 across the 10 of their papers we have counts for
10 papers
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…
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification
Yudi Zhao, Kuangrong Hao, Chaochen Gu +1
To address the trade-off problem of quality-diversity for the generated images in imbalanced classification tasks, we research on over-sampling based methods at the feature level i…
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…
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
Bing Wei, Yudi Zhao, Kuangrong Hao +1
Visual sensation and perception refers to the process of sensing, organizing, identifying, and interpreting visual information in environmental awareness and understanding. Computa…
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,…
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification
Yan Xiao, Yaochu Jin, Kuangrong Hao
Relation classification (RC) task is one of fundamental tasks of information extraction, aiming to detect the relation information between entity pairs in unstructured natural lang…
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…
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
Yan Xiao, Yaochu Jin, Ran Cheng +1
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge from massive unstructured text information. As…
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang, Yaochu Jin, Ran Cheng +1
The performance of a deep neural network is heavily dependent on its architecture and various neural architecture search strategies have been developed for automated network archit…