3 citations · 7 across the 5 of their papers we have counts for
7 papers
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…