Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610009(2022)

Optimization of Image Semantic Segmentation Algorithms Based on Deeplab v3+

Junxi Meng, Li Zhang*, Yang Cao, Letian Zhang, and Qian Song
Author Affiliations
  • College of Electronics and Information, Xi’an Polytechnic University, Xi’an 710600, Shaanxi , China
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    References(20)

    [1] Chen H, Yang K L, Hu W J et al. Semantic visual odometry based on panoramic annular imaging[J]. Acta Optica Sinica, 41, 2215002(2021).

    [4] Zhang Z H, Fang W, Du L L et al. Semantic segmentation of remote sensing image based on encoder-decoder convolutional neural network[J]. Acta Optica Sinica, 40, 0310001(2020).

    [15] Zhang R, Li J T. A survey on algorithm research of scene parsing based on deep learning[J]. Journal of Computer Research and Development, 57, 859-875(2020).

    [18] Liu W, Wang H R, Zhou B J. DeepLabv3plus-IRCNet: an image semantic segmentation method for small target feature extraction[J]. Journal of Image and Graphics, 26, 391-401(2021).

    [20] Guo L, Zhang T S, Sun W Z et al. Image semantic description algorithm with integrated spatial attention mechanism[J]. Laser & Optoelectronics Progress, 58, 1210030(2021).

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    Junxi Meng, Li Zhang, Yang Cao, Letian Zhang, Qian Song. Optimization of Image Semantic Segmentation Algorithms Based on Deeplab v3+[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610009

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    Paper Information

    Category: Image Processing

    Received: Jun. 7, 2021

    Accepted: Jul. 9, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Li Zhang (dx_zhangli@126.com)

    DOI:10.3788/LOP202259.1610009

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