Multi-scale Aggregation

Multi-Scale Aggregation is an aggregation metric that integrates information across multiple spatial, temporal, or structural scales to capture hierarchical or heterogeneous patterns in data, distinguishing itself from single-scale aggregation methods by explicitly modeling scale-dependent relationships.

89

Publications

8K

Citations

385

Authors

135

Institutions

Publications per year

2017–2026

80

Authors

385

  1. JZ
    Jiangning Zhang

    Zhejiang University, China

    2 publications · 40 citations

    2

    h-index

  2. QZ
    Qingtian Zhu

    Yangzhou University, China

    2 publications · 199 citations

    2

    h-index

  3. ZW
    Zhiyong Wang

    The University of Sydney, Australia

    2 publications · 1.2K citations

    2

    h-index

  4. ZW
    Zizhuang Wei

    Peking University, China

    2 publications · 199 citations

    2

    h-index

  5. HZ
    Hongwen Zhang

    Tsinghua University, China

    2 publications · 1.2K citations

    2

    h-index

1–5 of 385

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 1.8K citations

    8

    h-index

  2. IEEE Access

    6 publications · 183 citations

    6

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 223 citations

    4

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 3 publications · 279 citations

    3

    h-index

  5. Remote Sensing

    3 publications · 229 citations

    3

    h-index

1–5