您当前的位置:
首页 >
文章列表页 >
Weather recognition combining improved ConvNeXt models with knowledge distillation
Information Sciences | 更新时间:2023-08-26
    • Weather recognition combining improved ConvNeXt models with knowledge distillation

    • Optics and Precision Engineering   Vol. 31, Issue 14, Pages: 2123-2134(2023)
    • DOI:10.37188/OPE.20233114.2123    

      CLC:

    扫 描 看 全 文

  • LIU Libo, XI Siyu, DENG Zhen. Weather recognition combining improved ConvNeXt models with knowledge distillation. [J]. Optics and Precision Engineering 31(14):2123-2134(2023) DOI: 10.37188/OPE.20233114.2123.

  •  

0

Views

20

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

Lightweight deep global-local knowledge distillation network for hyperspectral image scene classification
Multi-stage frame alignment video super- resolution network
Image super-resolution reconstruction based on attention and wide-activated dense residual network
Low-light image enhancement algorithm based on multi-channel fusion attention network
REC-ResNet: Feature enhancement model for COVID-19 aided diagnosis

Related Author

No data

Related Institution

Measurement and Control Technology and Instrument major, College of Optoelectronic Engineering, Chongqing University
Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
School of Information and Control Engineering, China University of Mining and Technology
School of Computer Science and Technology, China University of Mining and Technology
0