您当前的位置:
首页 >
文章列表页 >
Tobacco Image Grading Method Based on Densely Connected Convolutional Networks and Hybrid Attention
更新时间:2023-05-29
    • Tobacco Image Grading Method Based on Densely Connected Convolutional Networks and Hybrid Attention

    • Software Guide   Vol. 22, Issue 5, Pages: 184-189(2023)
    • DOI:10.11907/rjdk.221658    

      CLC:

    扫 描 看 全 文

  • JIANG Hao,LUO Rui-lin,JIN Xue-song,et al.Tobacco Image Grading Method Based on Densely Connected Convolutional Networks and Hybrid Attention[J].Software Guide,2023,22(05):184-189. DOI: 10.11907/rjdk.221658.

  •  
  •  

0

Views

8

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

Application of Residual Network Algorithm in the Identification of Tunnel Lining Diseases
Anti-Sample Defense Method Based on Bilateral Filtering and Autoencoder
Point Cloud Registration Algorithm Based on Offset Cross Attention
Review and Simulation of Short-Term Traffic Flow Prediction Methods Based on Deep Learning
A Review of Gesture Recognition Algorithms for Surface Electromyography

Related Author

No data

Related Institution

School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications
School of Information and Communication Engineering, Nanjing University of Technology
School of Computer, Jiangsu University of Science and Technology
College of Information Science and Engineering, Guilin University of Technology
Guangxi Key Laboratory of Embedded Technology and Intelligent Systems
0