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    • Multilevel perceptual conditional random field model for monocular depth estimation

    • In the field of computer vision, researchers have proposed a new monocular depth estimation model that effectively improves depth estimation accuracy through a multi-level perception conditional random field model and a hybrid pyramid feature fusion strategy.
    • Vol. 30, Issue 3, Pages: 824-841(2025)   

      Received:16 May 2024

      Revised:13 August 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240260     

    移动端阅览

  • Jia Di, Song Huilun, Zhao Chen, Xu Chi. 2025. Multilevel perceptual conditional random field model for monocular depth estimation. Journal of Image and Graphics, 30(03):0824-0841 DOI: 10.11834/jig.240260.
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相关作者

Lijin Fang 东北大学机器人科学与工程学院
Sibo Liu 东北大学信息科学与工程学院
Qi He 上海海洋大学信息学院
Danfeng Zhao 上海海洋大学信息学院
Minghua Zhang 上海海洋大学信息学院
Mengfei Zhu 上海海洋大学信息学院
Wei Song 上海海洋大学信息学院
Xinjing Cheng 际络科技(上海)有限公司

相关机构

Faculty of Robot Science and Engineering, Northeastern University
College of Information Science and Engineering, Northeastern University
School of Information, Shanghai Ocean University
Jiluo Technology(Shanghai) Co., Ltd.
Peking University
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