• Laser & Optoelectronics Progress
  • Vol. 59, Issue 4, 0410015 (2022)
Yan Yao, Likun Hu*, and Jun Guo
Author Affiliations
  • School of Electrical Engineering, Guangxi University, Nanning , Guangxi 530004, China
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    DOI: 10.3788/LOP202259.0410015 Cite this Article Set citation alerts
    Yan Yao, Likun Hu, Jun Guo. Improved Lightweight Semantic Segmentation Algorithm Based on DeepLabv3+ Network[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410015 Copy Citation Text show less
    Improved DeepLabv3+network
    Fig. 1. Improved DeepLabv3+network
    Depthwise separable convolution
    Fig. 2. Depthwise separable convolution
    Squeeze and excitation module
    Fig. 3. Squeeze and excitation module
    Comparison of normalization methods. (a) BN; (b) GN
    Fig. 4. Comparison of normalization methods. (a) BN; (b) GN
    Segmentation results of proposed algorithm. (a) Input images; (b) ground truth; (c) segmentation results
    Fig. 5. Segmentation results of proposed algorithm. (a) Input images; (b) ground truth; (c) segmentation results
    Parameter nameParameter selection
    Enter picture size769×769
    Loss functionCross entropy
    OptimizerSGD
    Batch size16
    Iteration18500
    Table 1. Experimental parameters
    Evaluation indexXceptionResNet-50MobileNetv3
    mIoU /%78.1879.2072.94
    Validating time /ms11323415
    Parameter quantity /MB78.5338.722.18
    Table 2. Comparison of Deeplabv3+ model performance of different backbone networks
    Convolution method in ASPPTraining time /hmIoU /%
    Standard convolution3.3968.50
    Depthwise separable convolution in ASPP2.5666.78
    Table 3. Comparison of different convolution methods
    Depthwise separable convolution in ASPPSEGNmIoU /%
    68.50
    66.78
    71.23
    70.17
    72.94
    Table 4. Performance results for different modules on Cityscape
    Depthwise separable convolution in ASPPSEGNmIoU /%
    54.06
    53.42
    57.71
    56.31
    58.76
    Table 5. Performance results for different modules on Foggy Cityscape
    AlgorithmBackbone networkmIoU /%Parameter quantity /MB
    PSPNet14Paper source78.4284.75
    SegNet8Paper source57.9529.46
    DeepLabv3+Xception78.1878.53
    DeepLabv3+ResNet-5079.2038.72
    Proposed algorithmMobileNetv372.942.18
    Table 6. Comparison of performance of different algorithms
    AlgorithmmIoU /%Parameter quantity /MB
    FSSNet2362.320.20
    Fast-SCNN2469.252.33
    ENet2560.430.37
    Proposed algorithm72.942.18
    Table 7. Comparison of lightweight image semantic segmentation algorithms
    Yan Yao, Likun Hu, Jun Guo. Improved Lightweight Semantic Segmentation Algorithm Based on DeepLabv3+ Network[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410015
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