Attention-based Image Fusion

Attention-Based Image Fusion is an image fusion method that incorporates attention mechanisms to selectively aggregate complementary information from multiple source images by dynamically weighting salient features according to their relevance.

297

Publications

16.3K

Citations

1K

Authors

313

Institutions

Publications per year

2017–2026

291

Authors

1K

  1. WL
    Weisheng Li

    Chongqing University of Posts and Telecommunications, China

    6 publications · 342 citations

    6

    h-index

  2. JL
    Jinjiang Li

    Shandong Institute of Business and Technology, China

    6 publications · 146 citations

    6

    h-index

  3. JL
    Jinyuan Liu

    Dalian University of Technology, China

    3 publications · 220 citations

    4

    h-index

  4. JM
    Jiayi Ma

    Wuhan University, China

    3 publications · 1.3K citations

    4

    h-index

  5. JF
    Jun Fu

    Chongqing University of Posts and Telecommunications, China

    4 publications · 272 citations

    4

    h-index

1–5 of 1K

Venues

  1. 14

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  2. Biomedical Signal Processing and Control

    11 publications · 585 citations

    13

    h-index

  3. Remote Sensing

    11 publications · 318 citations

    12

    h-index

  4. IEEE Access

    7 publications · 255 citations

    9

    h-index

  5. 9

    h-index

1–5