Image-based Product Classification

Image-Based Product Classification is a method within the domain of product classification that uses visual data as the primary input for categorizing products based on learned features from images.

55

Publications

2.2K

Citations

199

Authors

81

Institutions

Publications per year

2017–2026

40

Authors

199

  1. CG
    Ceren Gülra Melek

    Istanbul Arel University, Türkiye

    2 publications · 37 citations

    2

    h-index

  2. EB
    Elena Battini Sönmez

    Istanbul Bilgi University, Türkiye

    2 publications · 37 citations

    2

    h-index

  3. AM
    Alessandro Magnani

    Politecnico di Milano, Italy

    2 publications · 39 citations

    2

    h-index

  4. AK
    Abhinandan Krishnan

    Walmart (United States), United States

    2 publications · 39 citations

    2

    h-index

  5. SM
    Shie Mannor

    Technion – Israel Institute of Technology, Israel

    2 publications · 39 citations

    2

    h-index

1–5 of 199

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 77 citations

    4

    h-index

  2. IEEE Access

    3 publications · 86 citations

    3

    h-index

  3. Journal of Agriculture and Food Research

    1 publications · 25 citations

    2

    h-index

  4. Image and Vision Computing

    2 publications · 107 citations

    2

    h-index

  5. Transactions of the ASAE

    1 publications · 58 citations

    1

    h-index

1–5