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An Examination and Comparison of Fairness of Face and Ocular Recognition Across Gender at NIR Spectrum
Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically , unequal accuracy rates were obtained for women and dark-skinned people. To mitigate the bias of gender …
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