• Laser & Optoelectronics Progress
  • Vol. 59, Issue 4, 0410008 (2022)
Yunfei Qiu and Jinyan Wen*
Author Affiliations
  • School of Software, Liaoning Technical University, Huludao , Liaoning 125105, China
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    DOI: 10.3788/LOP202259.0410008 Cite this Article Set citation alerts
    Yunfei Qiu, Jinyan Wen. Image Semantic Segmentation Based on Combination of DeepLabV3+ and Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410008 Copy Citation Text show less
    Structure diagram of Xception module
    Fig. 1. Structure diagram of Xception module
    Structure diagram of improved DeepLabV3+ network
    Fig. 2. Structure diagram of improved DeepLabV3+ network
    Structure diagram of channel attention
    Fig. 3. Structure diagram of channel attention
    Structure diagram of spatial attention
    Fig. 4. 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
    Fig. 5. 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
    Fig. 6. Loss values for different methods
    Comparison of segmentation results . (a) Original images; (b) image labels; (c) segmentation results of DeepLabV3 +;
    Fig. 7. Comparison of segmentation results . (a) Original images; (b) image labels; (c) segmentation results of DeepLabV3 +;
    kmIoU /%
    182.26
    383.52
    583.92
    784.44
    983.63
    1183.85
    Table 1. mIoU values of different k values
    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 2. Comparison results of different image semantic segmentation algorithms
    AlgorithmMPA /%mIoU /%
    DeepLabV3+89.1281.14
    Proposed algorithm92.5084.44
    Table 3. Comparison of different indexes of DeepLabV3+ network before and after improvement
    No.DeepLabV3+XceptionCASAFocal lossmIoU /%Time /s
    81.140.074
    81.560.075
    81.180.075
    83.300.076
    83.920.076
    84.440.077
    Table 4. Pedestrian detection accuracy of different combination methods
    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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