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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    References(31)

    [1] Wang E D, Qi K, Li X P et al. Semantic segmentation of remote sensing image based on neural network[J]. Acta Optica Sinica, 39, 1210001(2019).

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    [8] Tan G H, Hou J, Han Y P et al. Low-parameter real-time image segmentation algorithm based on convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 091003(2019).

    [29] Xu C, Wang L. Image semantic segmentation method based on improved DeepLabv3+ network[J]. Laser & Optoelectronics Progress, 58, 1610008(2021).

    [30] Liu W X, Shu Y Z, Tang X M et al. Remote sensing image segmentation using dual attention mechanism Deeplabv3+ algorithm[J]. Tropical Geography, 40, 303-313(2020).

    [31] Ren F L, He X, Wei Z H et al. Semantic segmentation based on DeepLabV3+ and superpixel optimization[J]. Optics and Precision Engineering, 27, 2722-2729(2019).

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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: Jinyan Wen (1004985072@qq.com)

    DOI:10.3788/LOP202259.0410008

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