Image Patch Splitting

Image Patch Splitting is a computational method in computer vision that partitions an input image into non-overlapping local regions, or patches, to facilitate downstream tasks such as feature extraction, attention modeling, or sequence processing in transformer-based architectures.

16

Publications

1.7K

Citations

73

Authors

27

Institutions

Publications per year

2017–2026

12

Authors

73

  1. ZH
    Zeyi Huang

    Carnegie Mellon University, United States

    2 publications · 89 citations

    2

    h-index

  2. GH
    Gao Huang

    Tsinghua University, China

    2 publications · 89 citations

    2

    h-index

  3. RH
    Rui Huang

    Tsinghua University, China

    2 publications · 89 citations

    2

    h-index

  4. CZ
    Chaoyang Zhao

    Chinese Academy of Sciences, China

    1 publications · 111 citations

    1

    h-index

  5. YY
    Yudong Yao

    Stevens Institute of Technology, United States

    1 publications · 111 citations

    1

    h-index

1–5 of 73

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 113 citations

    4

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  2. Applied Sciences

    1 publications · 29 citations

    1

    h-index

  3. Stroke

    1 publications · 30 citations

    1

    h-index

  4. 1

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  5. IEEE Transactions on Multimedia

    1 publications · 562 citations

    1

    h-index

1–5