Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410008(2022)

Image Semantic Segmentation Based on Combination of DeepLabV3+ and Attention Mechanism

Yunfei Qiu and Jinyan Wen*
Author Affiliations
  • School of Software, Liaoning Technical University, Huludao , Liaoning 125105, China
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    Figures & Tables(11)
    Structure diagram of Xception module
    Structure diagram of improved DeepLabV3+ network
    Structure diagram of channel attention
    Structure diagram of spatial attention
    Comparison of segmentation results after adding noise. (a) Images after adding noise; (b) image labels; (c) DeepLabV3+ segmentation results after adding noise; (d) segmentation results of proposed algorithm after adding noise
    Loss values for different methods
    Comparison of segmentation results . (a) Original images; (b) image labels; (c) segmentation results of DeepLabV3 +;
    • Table 1. mIoU values of different k values

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      Table 1. mIoU values of different k values

      kmIoU /%
      182.26
      383.52
      583.92
      784.44
      983.63
      1183.85
    • Table 2. Comparison results of different image semantic segmentation algorithms

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      Table 2. Comparison results of different image semantic segmentation algorithms

      AlgorithmmIoU /%
      PSPNet78.56
      DANet80.96
      DeepLabV3+81.14
      DUpsamling82.03
      Algorithm of [2982.26
      Algorithm of [3082.94
      SANet83.20
      Algorithm of [3183.40
      Proposed algorithm84.44
    • Table 3. Comparison of different indexes of DeepLabV3+ network before and after improvement

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      Table 3. Comparison of different indexes of DeepLabV3+ network before and after improvement

      AlgorithmMPA /%mIoU /%
      DeepLabV3+89.1281.14
      Proposed algorithm92.5084.44
    • Table 4. Pedestrian detection accuracy of different combination methods

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      Table 4. Pedestrian detection accuracy of different combination methods

      No.DeepLabV3+XceptionCASAFocal lossmIoU /%Time /s
      81.140.074
      81.560.075
      81.180.075
      83.300.076
      83.920.076
      84.440.077
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    Yunfei Qiu, Jinyan Wen. Image Semantic Segmentation Based on Combination of DeepLabV3+ and Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410008

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    Paper Information

    Category: Image Processing

    Received: Mar. 1, 2021

    Accepted: Mar. 23, 2021

    Published Online: Feb. 15, 2022

    The Author Email: Wen Jinyan (1004985072@qq.com)

    DOI:10.3788/LOP202259.0410008

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