Optics and Precision Engineering, Volume. 32, Issue 3, 445(2024)

Atrous convolution and Bilateral grid network

Jingjing ZHANG1...2,3,*, Xingzhuo DU1,2,3, Shuai ZHI4,5, and Guopeng DING45,* |Show fewer author(s)
Author Affiliations
  • 1School of Automation, China University of Geosciences (Wuhan), Wuhan430074, China
  • 2Hubei Provincial Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan430074, China
  • 3Engineering Research Center of Earth Exploration Intelligent Technology, Ministry of Education, Wuhan40074, China
  • 4Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai201203, China
  • 5Shanghai Microsatellite Engineering Center, Shanghai201203, China
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    Figures & Tables(16)
    Architecture of AB-Net
    Schematic diagram of atrous convolution with different expansion rates
    Schematic diagram of feature extraction module structure
    Schematic diagram of stacked hourglass module of 3D CNN
    Schematic diagram of Bilateral grid
    Result of different methods on SceneFlow dataset
    Result of different methods on SceneFlaw dataset
    Test results on Middlebury 2014
    Untrained results on Middlebury 2014 dataset
    Experimental results of real scene
    • Table 1. Results of ablation experiment

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      Table 1. Results of ablation experiment

      网络名称残差层简化ASPP双边格网Res-CVEpe/pixelt/ms
      PSM-Net1/41.092 310
      AA-Net1/40.871 147
      AB-Net1/41.161 125
      1/41.011 856
      1/80.86951
    • Table 2. Result of different methods on SceneFlow dataset

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      Table 2. Result of different methods on SceneFlow dataset

      网络名称Epe/pixelNumber of parameters/108
      GC-Net42.513.50
      PSM-Net51.095.20
      CRL[16]1.3278.77
      AA-Net[17]0.87-
      AED-Net[18]0.89-
      AB-Net0.863.20
    • Table 3. Test result on KITTI 2015 binocular stereo matched dataset

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      Table 3. Test result on KITTI 2015 binocular stereo matched dataset

      网络

      名称

      All Pixel/%Non-Occluded Pixels/%

      Number of

      parameters/108

      D1-bgD1-fgD1-allD1-bgD1-fgD1-all
      GC-Net42.216.162.872.025.582.613.50
      PSM-Net51.864.622.321.714.312.145.20
      CRL131.995.392.554.932.321.8978.77
      AA-Net142.483.592.672.323.122.45-
      AB-Net1.914.342.261.824.172.113.20
    • Table 4. Test results on KITTI 2012 binocular stereo matched dataset

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      Table 4. Test results on KITTI 2012 binocular stereo matched dataset

      网 络ONoc/%OAll/%ANoc/%AAll/%Number of parameters/108
      GC-Net41.772.060.60.73.50
      PSM-Net121.491.890.50.65.20
      AA-Net142.543.180.60.7-
      AED-Net153.404.110.70.8-
      AB-Net1.442.450.60.73.20
    • Table 5. Result on middlebury 2014 dataset analysis

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      Table 5. Result on middlebury 2014 dataset analysis

      网 络Bad2.0/%
      PSM-Net518.58
      GA-Net617.43
      AA-Net1315.94
      AB-Net7.56
    • Table 6. Analysis of generalization ability data on Middlebury 2014 dataset

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      Table 6. Analysis of generalization ability data on Middlebury 2014 dataset

      网 络Bad2.0/%
      PSM-Net524.8
      GA-Net619.1
      AA-Net1318.7
      AB-Net17.4
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    Jingjing ZHANG, Xingzhuo DU, Shuai ZHI, Guopeng DING. Atrous convolution and Bilateral grid network[J]. Optics and Precision Engineering, 2024, 32(3): 445

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    Paper Information

    Category:

    Received: Jun. 20, 2023

    Accepted: --

    Published Online: Apr. 2, 2024

    The Author Email: ZHANG Jingjing (dinggp@microsate.com), DING Guopeng (dinggp@microsate.com)

    DOI:10.37188/OPE.20243203.0445

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