您当前的位置:
首页 >
文章列表页 >
Multi-frame self-supervised monocular depth estimation with multi-scale feature enhancement
Information Sciences | 更新时间:2025-02-24
    • Multi-frame self-supervised monocular depth estimation with multi-scale feature enhancement

    • In the field of depth estimation, researchers have proposed a multi-scale feature enhanced multi frame self supervised monocular depth estimation model, which effectively improves prediction accuracy and provides a solution for outdoor scene depth estimation problems.
    • Optics and Precision Engineering   Vol. 32, Issue 24, Pages: 3603-3615(2024)
    • DOI:10.37188/OPE.20243224.3603    

      CLC: TP391.41;
    • Received:08 June 2024

      Revised:14 August 2024

      Published:25 December 2024

    移动端阅览

  • KOU Qiqi,WANG Weichen,HAN Chenggong,et al.Multi-frame self-supervised monocular depth estimation with multi-scale feature enhancement[J].Optics and Precision Engineering,2024,32(24):3603-3615. DOI: 10.37188/OPE.20243224.3603.

  •  
  •  

0

Views

14

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

Indoor self-supervised monocular depth estimation based on level feature fusion
DRT Net: dual Res-Transformer pneumonia recognition model oriented to feature enhancement
Attention interaction based RGB-T tracking method
REC-ResNet: Feature enhancement model for COVID-19 aided diagnosis
Cross-scene hyperspectral image classification combined spatial-spectral domain adaptation with XGBoost

Related Author

QIAN Jiansheng
LÜ Chen
KOU Qiqi
ZHANG Huaqiang
CHENG Deqiang
LU Huiling
ZHOU Tao
PENG Caiyue

Related Institution

School of Information and Control Engineering, University of Mining and Technology
School of Computer Science and Technology, University of Mining and Technology
College of Computer Science and Engineering, North Minzu University
Key Laboratory of Image and Graphics Intelligent Processing of State Ethnic Affairs Commission, North Minzu University
School of Medical Information & Engineering, Ningxia Medical University
0