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Semantic segmentation method for street images with multi-dimensional features
Image Processing | 更新时间:2024-07-26
    • Semantic segmentation method for street images with multi-dimensional features

    • In the field of deep learning semantic segmentation, this paper proposes a street view image semantic segmentation network MDFNet that integrates multidimensional features. Through the target area enhancement module, feature pyramid grid, and dual solution dock technology, the segmentation accuracy of complex street view images is significantly improved, with an average intersection to union ratio of 80.11%, providing a new solution for street view image understanding.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 7, Pages: 980-989(2024)
    • DOI:10.37188/CJLCD.2023-0208    

      CLC: TP391.4
    • Received:07 June 2023

      Revised:06 July 2023

      Published:05 July 2024

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  • ZHU Lei, CHE Chenjie, YAO Tongyu, et al. Semantic segmentation method for street images with multi-dimensional features[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 980-989. DOI: 10.37188/CJLCD.2023-0208.

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