Attribute Annotation

Attribute Annotation is a type of image annotation that involves the identification and labeling of specific characteristics or properties associated with objects or regions within an image, distinguishing it from other annotation types by focusing on descriptive qualities such as color, shape, texture, or semantic attributes rather than mere spatial localization or category classification.

29

Publications

6.6K

Citations

97

Authors

42

Institutions

Publications per year

2017–2026

17

Authors

97

  1. CH
    Christoph H. Lampert

    Institute of Science and Technology Austria, Austria

    3 publications · 4.9K citations

    3

    h-index

  2. SH
    Stefan Harmeling

    Max Planck Institute for Intelligent Systems, Germany

    3 publications · 4.9K citations

    3

    h-index

  3. HN
    Hannes Nickisch

    Philips (Germany), Germany

    3 publications · 4.9K citations

    3

    h-index

  4. KG
    Kristen Grauman

    The University of Texas at Austin, United States

    2 publications · 227 citations

    2

    h-index

  5. XC
    Xilin Chen

    Institute of Computing Technology, China

    2 publications · 57 citations

    2

    h-index

1–5 of 97

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 23 citations

    2

    h-index

  2. 2

    h-index

  3. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 3.3K citations

    2

    h-index

  4. Applied Soft Computing

    1 publications · 54 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 42 citations

    1

    h-index

1–5