Gated Fusion

Gated Fusion is a feature-level fusion method that selectively integrates multimodal features through learnable gating mechanisms to dynamically weight the contribution of each modality based on contextual relevance.

67

Publications

3.7K

Citations

280

Authors

102

Institutions

Publications per year

2017–2026

67

Authors

280

  1. SH
    Sheng Hu

    Air Force Medical University, China

    3 publications · 91 citations

    3

    h-index

  2. YM
    Yuqing Ma

    Beihang University, China

    3 publications · 91 citations

    3

    h-index

  3. YW
    Yanlu Wei

    Beihang University, China

    3 publications · 91 citations

    3

    h-index

  4. SB
    Shihao Bai

    Beihang University, China

    3 publications · 91 citations

    3

    h-index

  5. JW
    Jingwen Wang

    China Jiliang University, China

    2 publications · 216 citations

    2

    h-index

1–5 of 280

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 184 citations

    7

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 371 citations

    6

    h-index

  3. 3

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5