Patch Fusion

Patch Fusion is a computational method in computer vision that integrates spatially adjacent patches through weighted aggregation to enhance feature representation in hierarchical neural networks.

42

Publications

1.8K

Citations

212

Authors

103

Institutions

Publications per year

2017–2026

28

Authors

212

  1. PC
    Pierrick Coupé

    Laboratoire Bordelais de Recherche en Informatique, France

    2 publications · 100 citations

    2

    h-index

  2. DL
    D. Louis Collins

    Montreal Neurological Institute and Hospital, Canada

    2 publications · 100 citations

    2

    h-index

  3. JC
    Jens C. Pruessner

    McGill University, Canada

    1 publications · 53 citations

    1

    h-index

  4. YT
    Yucheng Tang

    Vanderbilt University, United States

    1 publications · 67 citations

    1

    h-index

  5. HW
    Haoyi Wang

    University of Warwick, United Kingdom

    1 publications · 55 citations

    1

    h-index

1–5 of 212

Venues

  1. IEEE Transactions on Image Processing

    3 publications · 167 citations

    3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 205 citations

    2

    h-index

  3. Neuroinformatics

    2 publications · 26 citations

    2

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 2 publications · 100 citations

    2

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 105 citations

    2

    h-index

1–5