您当前的位置:
首页 >
文章列表页 >
Dense NRSfM Network Implementation under the Transformer Architecture
更新时间:2022-04-26
    • Dense NRSfM Network Implementation under the Transformer Architecture

    • Software Guide   Vol. 21, Issue 4, Pages: 91-97(2022)
    • DOI:10.11907/rjdk.211701    

      CLC:

    扫 描 看 全 文

  • HUANG Meng,WANG Ya-ming.Dense NRSfM Network Implementation under the Transformer Architecture[J].Software Guide,2022,21(04):91-97. DOI: 10.11907/rjdk.211701.

  •  
  •  

0

Views

16

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

Research on Missing Value Supplement of Energy System Based on Causal Analysis
Electricity Flow Detection Model Based on Efficient Deep Neural Network
Research on Lightweight Self-Attention Mechanism as Backbone for Natural Land Cover Segmentation
Data Re-labeling Algorithm Based on Garbage Classification Task of Cleaning Robot
Research on the Application of Graph Neural Network Model with Update Mechanism in Multiple Object Tracking

Related Author

No data

Related Institution

School of Computer Science and Technology, Zhejiang Sci-Tech University
Fujian Strait Information Technology Co,.Ltd.
School of Information Science and Technology, Gansu Agricultural University
Origin Dynamics Intelligent Robot Co.,Ltd.
School of Electronics, Information and Electrical Engineering (SEIEE), Shanghai Jiao Tong University
0