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Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Previous generations of face recognition algorithms differ in accuracy for images of different races (race bias). Here, we present the possible underlying factors (data-driven and scenario modeling) and methodological considerations for assessing race bias in algorithms. We discuss data-driven facto...
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| Publicado no: | IEEE Trans Biom Behav Identity Sci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7879975/ https://ncbi.nlm.nih.gov/pubmed/33585821 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBIOM.2020.3027269 |
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