Journal of Infrared and Millimeter Waves, Volume. 44, Issue 2, 275(2025)

BDMFuse: Multi-scale network fusion for infrared and visible images based on base and detail features

Hai-Ping SI1... Wen-Rui ZHAO1, Ting-Ting LI1, Fei-Tao LI1, Bacao FERNADO2, Chang-Xia SUN1 and Yan-Ling LI1,* |Show fewer author(s)
Author Affiliations
  • 1College of Information and Management Science,Henan Agricultural University,Zhengzhou 450046,China
  • 2NOVA Information Management School,Universidade Nova de Lisboa,Lisboa1070-312,Portugal
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    References(43)

    [11] Z P Lin, Y H Luo, B Y Li et al. Gradient-aware channel attention network for infrared small target image denoising before detection. Journal of Infrared and Millimeter Waves, 43, 254-260(2024).

    [24] Z P Lin, B Y Li, M Li et al. Light-weight infrared small target detection combining cross-scale feature fusion with bottleneck attention module. Journal of Infrared and Millimeter Wave, 41, 1102-1112(2022).

    [30] S Liu, D Huang, Y Wang. Learning spatial fusion for single-shot object detection. arXiv preprint(2019).

    [34] H Xu, J Ma, J Jiang et al. U2Fusion: A unified unsupervised image fusion network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 502-518(2020).

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    Hai-Ping SI, Wen-Rui ZHAO, Ting-Ting LI, Fei-Tao LI, Bacao FERNADO, Chang-Xia SUN, Yan-Ling LI. BDMFuse: Multi-scale network fusion for infrared and visible images based on base and detail features[J]. Journal of Infrared and Millimeter Waves, 2025, 44(2): 275

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    Paper Information

    Category: Interdisciplinary Research on Infrared Science

    Received: Jul. 25, 2024

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email: LI Yan-Ling (lyl_lingling@163.com)

    DOI:10.11972/j.issn.1001-9014.2025.02.015

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