Jigsaw Puzzle Solving

Jigsaw Puzzle Solving is a self-supervised learning method that involves reconstructing permuted image patches into their canonical spatial configuration to learn meaningful visual representations without human-provided labels.

170

Publications

10.3K

Citations

449

Authors

233

Institutions

Publications per year

2017–2026

62

Authors

449

  1. HK
    Hitoshi Kiya

    Tokyo Metropolitan University, Japan

    8 publications · 521 citations

    8

    h-index

  2. TC
    Tatsuya Chuman

    Tokyo Metropolitan University, Japan

    5 publications · 412 citations

    5

    h-index

  3. NS
    Nathan S. Netanyahu

    University of Maryland, College Park, United States

    4 publications · 140 citations

    4

    h-index

  4. OE
    Omid E. David

    Bar-Ilan University, Israel

    4 publications · 140 citations

    4

    h-index

  5. AN
    Alissa N. Antle

    Simon Fraser University, Canada

    4 publications · 418 citations

    4

    h-index

1–5 of 449

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 169 citations

    5

    h-index

  2. IEEE Transactions on Image Processing

    5 publications · 190 citations

    5

    h-index

  3. 4

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 58 citations

    3

    h-index

  5. Pattern Recognition Letters

    3 publications · 188 citations

    3

    h-index

1–5