您当前的位置：
首页 >
文章列表页 >
Face Template Reconstruction Technology Combined With Self-Attention Feature Fusion
Graphic and Image Processing | 更新时间：2025-04-10
|

    • Face Template Reconstruction Technology Combined With Self-Attention Feature Fusion

    • “In the field of facial recognition, researchers have proposed FFMapNet, which improves the quality of template inversion reconstruction through self attention and feature fusion, and experimental results show that it outperforms existing methods.”
    • Software Guide   Vol. 24, Issue 3, Pages: 177-184(2025)

    • DOI：10.11907/rjdk.241996    

      CLC： TP391

    • Received：25 November 2024，

      Published：15 March 2025

    移动端阅览

  • WANG Yanan,DONG Jianmin,SUN Bingyang,et al.Face Template Reconstruction Technology Combined With Self-Attention Feature Fusion[J].Software Guide,2025,24(03):177-184. DOI： 10.11907/rjdk.241996.

  •  
  •  

0

Views

0

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

Transcription Factor Binding Sites Prediction with Long-Short Distance Fusion Learning Based on Dual-path TCN
Individualized Student Knowledge Tracking Model Based on Self-attention Mechanism
Feature Fusion-Based Model for Fake Job Advertisement Detection
Short Text Classification Based on Dual-Channel Feature Fusion and Adversarial Training
Lightweight Fugitive Dust Pollution Source Detection Method Based on CenterNet

Related Author

WU Zhiqiang
SONG Jiazhi
JIANG Jingqing
LUO Rui
WANG Cong
WAN Cong
CHEN Qianqian
WANG Yongzheng

Related Institution

College of Life Sciences and Food Engineering， Inner Mongolia Minzu University
College of Computer Science and Technology， Inner Mongolia Minzu University
School of Computer and Communication Engineering， Northeastern University at Qinhuangdao
School of Computer Science and Engineering， Shandong University of Science and Technology
School of Information Engineering，Jiangxi University of Science and Technology
0