您当前的位置:
首页 >
文章列表页 >
Semantic Segmentation of Street View Images Based on Generative Adversarial Networks and Mixed Attention Mechanisms
更新时间:2024-11-19
    • Semantic Segmentation of Street View Images Based on Generative Adversarial Networks and Mixed Attention Mechanisms

    • New progress has been made in semantic segmentation of street view images, proposing a segmentation model that combines generative adversarial networks and hybrid attention mechanisms, effectively improving segmentation accuracy and model stability.
    • Software Guide   Vol. 23, Issue 11, Pages: 187-192(2024)
    • DOI:10.11907/rjdk.232155    

      CLC: TP391.41
    • Received:13 November 2023

      Published:15 November 2024

    移动端阅览

  • WU Bingjian,GAO Lin,LI Yanzhi,et al.Semantic Segmentation of Street View Images Based on Generative Adversarial Networks and Mixed Attention Mechanisms[J].Software Guide,2024,23(11):187-192. DOI: 10.11907/rjdk.232155.

  •  
  •  

0

Views

45

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A Method for Semantic Image Synthesis with Global Information Enhancement
Efficient Tree Structured Point Cloud Generative Network Based on Probability Distribution Learning
Partial Discharge Pattern Recognition for Cables Under Few Samples Condition
Fisheye Image Rectification Method based on Generative Adversarial Network
Research on Fast Image Instance Segmentation Based on Adversarial Training

Related Author

CHEN Yongqiang
LI Junqi
LIU Yong
LIU Jiang
BAO Yanxia
XU Hao
SHEN Yang
XU Zhennan

Related Institution

School of Computer & Artificial Intelligence, Wuhan Textile University
Engineering Research Center of Hubei Province for Clothing Information
School of Computer Science and Technology, Zhejiang Sci-Tech University
School of Engineering, Lishui University
School of Electrical Engineering and Automation, Henan Polytechnic University
0