Showing 1 - 2 results of 2 for search '"SE module"', query time: 0.30s Refine Results
  1. 1
    SE-ResUNet Using Feature Combinations: A Deep Learning Framework for Accurate Mountainous Cropland Extraction Using Multi-Source Remote Sensing Data

    SE-ResUNet Using Feature Combinations: A Deep Learning Framework for Accurate Mountainous Cropland Extraction Using Multi-Source Remote Sensing Data by Ling Xiao, Jiasheng Wang, Kun Yang, Hui Zhou, Qianwen Meng, Yue He, Siyi Shen

    Published 2025-04-01
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  2. 2
    Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset

    Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset by Md Firoz Kabir, Md Yousuf Ahmad, Roise Uddin, Martin Cordero, Shashi Kant

    Published 2025-07-01
    Subjects: “…Squeeze-and-excitation (SE) module…”
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