Hierarchical Patch Splitting

Hierarchical Patch Splitting is a patch splitting method that recursively partitions image patches into progressively finer sub-patches according to a predefined hierarchical structure, thereby enabling multi-scale feature learning in vision-based deep learning models.

1

Publications

10

Citations

9

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

9

  1. CS
    Canghong Shi

    Chengdu University of Information Technology, China

    1 publications · 10 citations

    1

    h-index

  2. XW
    Xi Wu

    Chengdu University of Information Technology, China

    1 publications · 10 citations

    1

    h-index

  3. IM
    Imran Mumtaz

    University of Agriculture Faisalabad, Pakistan

    1 publications · 10 citations

    1

    h-index

  4. HR
    Hongping Ren

    Chengdu University of Information Technology, China

    1 publications · 10 citations

    1

    h-index

  5. JL
    Jiancheng Lv

    Sichuan University, China

    1 publications · 10 citations

    1

    h-index

1–5 of 9

Venues

  1. International Journal of Intelligent Systems

    1 publications · 10 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 12 citations

1–2