Attention-based Feature Aggregation

Attention-Based Feature Aggregation is a feature aggregation method that dynamically weights the contribution of individual features based on their contextual relevance using attention mechanisms.

127

Publications

16.7K

Citations

538

Authors

192

Institutions

Publications per year

2017–2026

126

Authors

538

  1. YZ
    Yulun Zhang

    Northeastern University, United States

    4 publications · 548 citations

    4

    h-index

  2. XY
    Xiaokang Yang

    Shanghai Jiao Tong University, China

    4 publications · 440 citations

    4

    h-index

  3. JG
    Jinjin Gu

    The University of Sydney, Australia

    4 publications · 548 citations

    4

    h-index

  4. MX
    Min Xia

    Nanjing University of Information Science and Technology, China

    4 publications · 201 citations

    4

    h-index

  5. LK
    Linghe Kong

    Shanghai Jiao Tong University, China

    4 publications · 548 citations

    4

    h-index

1–5 of 538

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 1.9K citations

    15

    h-index

  2. Remote Sensing

    5 publications · 190 citations

    5

    h-index

  3. 5

    h-index

  4. IEEE Transactions on Image Processing

    5 publications · 921 citations

    5

    h-index

  5. Expert Systems with Applications

    3 publications · 82 citations

    3

    h-index

1–5