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Self-supervised monocular depth estimation based on improved densenet and wavelet decomposition
更新时间：2025-07-22

    • Self-supervised monocular depth estimation based on improved densenet and wavelet decomposition

    • “In the field of monocular depth estimation, researchers have proposed a self supervised model based on improved dense networks and wavelet decomposition, which effectively enhances the ability to capture small object features and refine edge processing.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 5, Pages: 1682-1691(2025)
    • 作者机构：

      1.中国矿业大学 信息与控制工程学院，江苏 徐州 221116

      2.中国矿业大学 计算机科学与技术学院，江苏 徐州 221116

    • DOI：10.13229/j.cnki.jdxbgxb.20230820    

      CLC： TP391.41

    • Received：04 August 2023，

      Published：01 May 2025

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  • CHENG De-qiang,WANG Wei-chen,HAN Cheng-gong,et al.Self-supervised monocular depth estimation based on improved densenet and wavelet decomposition[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(05):1682-1691. DOI： 10.13229/j.cnki.jdxbgxb.20230820.

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