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Semantic segmentation algorithm for foggy cityscapes images by fusing self-supervised contrastive learning
Image Processing | 更新时间：2024-07-26

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

    • “In the field of semantic segmentation of foggy street scenes, researchers have proposed an algorithm that integrates self supervised contrastive learning, significantly improving the recognition and segmentation capabilities of the model.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 7, Pages: 990-1000(2024)

    • DOI：10.37188/CJLCD.2023-0200    

      CLC： TP391.4

    • Received：29 May 2023，

      Revised：12 July 2023，

      Published：05 July 2024

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  • LIU Liwei, WANG Rui, MENG Xutao. Semantic segmentation algorithm for foggy cityscapes images by fusing self-supervised contrastive learning[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 990-1000. DOI： 10.37188/CJLCD.2023-0200.

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