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Unsupervised Image-To-Image Translation Via Fair Representation Of Gender Bias

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IEEE ICASSP 2020 Virtual Conference May 2020

Fairness becomes a critical issue of computer vision to reduce discriminative factors in various systems. Among computer vision tasks, Image-to-Image translation for facial attributes editing can yield discriminative results. The unexpected gender changed

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Unsupervised Image-To-Image Translation Via Fair Representation Of Gender Bias

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Fairness becomes a critical issue of computer vision to reduce discriminative factors in various systems. Among computer vision tasks, Image-to-Image translation for facial attributes editing can yield discriminative results. The unexpected gender changed