Set-based Feature Aggregation

Set-Based Feature Aggregation is a feature aggregation method that operates on unordered collections of features by applying permutation-invariant operations to extract compact, representative descriptors from set-structured inputs.

5

Publications

199

Citations

11

Authors

4

Institutions

Publications per year

2017–2026

4

Authors

11

  1. WX
    Weidi Xie

    University of Oxford, United Kingdom

    2 publications · 100 citations

    2

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  2. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    2 publications · 100 citations

    2

    h-index

  3. MW
    Mingwu Wang

    Hefei University of Technology, China

    1 publications · 27 citations

    1

    h-index

  4. JL
    Jian Li

    Chongqing University, China

    1 publications · 27 citations

    1

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  5. KZ
    Kui-Yuan Zhao

    Hefei University of Technology, China

    1 publications · 27 citations

    1

    h-index

1–5 of 11

Venues

  1. 1

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  2. 1

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  3. Natural Hazards

    1 publications · 27 citations

    1

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  4. Oxford University Research Archive (ORA) (University of Oxford)

    Repository · 1 publications · 21 citations

    1

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  5. arXiv (Cornell University)

    Repository · 1 publications · 79 citations

    1

    h-index

1–5