Chinese Journal of Liquid Crystals and Displays, Volume. 39, Issue 7, 990(2024)

Semantic segmentation algorithm for foggy cityscapes images by fusing self-supervised contrastive learning

Liwei LIU*, Rui WANG, and Xutao MENG
Author Affiliations
  • College of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China
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    References(26)

    [10] CHEN L C, PAPANDREOU G, KOKKINOS I et al. Semantic image segmentation with deep convolutional nets and fully connected CRFs[C](2015).

    [15] ZHANG C S, CHEN J, LI Q L et al. Deep contrastive learning: a survey[J]. Acta Automatica Sinica, 49, 15-39(2023).

    [20] HONG Y D, PAN H H, SUN W C et al. Deep dual-resolution networks for real-time and accurate semantic segmentation of road scenes[J/OL](2021).

    [21] CHEN T, KORNBLITH S, NOROUZI M et al. A simple framework for contrastive learning of visual representations[C], 1597-1607(2020).

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    Liwei LIU, Rui WANG, Xutao MENG. Semantic segmentation algorithm for foggy cityscapes images by fusing self-supervised contrastive learning[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(7): 990

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    Paper Information

    Category: Research Articles

    Received: May. 29, 2023

    Accepted: --

    Published Online: Jul. 23, 2024

    The Author Email: Liwei LIU (liuliwei@ccut.edu.cn)

    DOI:10.37188/CJLCD.2023-0200

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