The impact of age-related variables on facial comparisons with images of children: algorithm and practitioner performance

4 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Diagnosing Gender Bias in Image Recognition Systems (2020, background): “Finally, as studies have shown that the performance of image recognition algorithms may depend upon the age of individuals in the images (Ngan and Grother 2014; Michalski 2017), we control for age (see the Online Appendix).”