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Mamba-Transformer foggy object detection method integrating hidden state compression and spatial dependency perception
Image Processing | 更新时间：2026-03-02

    • Mamba-Transformer foggy object detection method integrating hidden state compression and spatial dependency perception

    • “In complex weather and dynamic scenarios, small target detection is susceptible to haze interference and feature weakening, and existing methods still have shortcomings in real-time and robustness. Therefore, relevant experts have constructed a detection model that combines high efficiency and strong robustness to improve the performance of small target detection in foggy weather.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 41, Issue 2, Pages: 222-239(2026)

    • DOI：10.37188/CJLCD.2025-0245    

      CLC： TP391.4
    • CSTR：32172.14.CJLCD.2025-0245    

    • Received：02 December 2025，

      Revised：2026-01-17，

      Published：05 February 2026

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  • CHEN Yue, XU Feng, SONG Jinghao. Mamba-Transformer foggy object detection method integrating hidden state compression and spatial dependency perception[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 222-239. DOI： 10.37188/CJLCD.2025-0245. CSTR： 32172.14.CJLCD.2025-0245.

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Related Institution

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