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Abstract:We present a framework that uses GAN-augmented images to complement certain specific attributes, usually underrepresented, for machine learning model training. This allows us to improve inference quality over those attributes for the facial recognition tasks.
* CHI 2022 Workshop: AI-Generated Characters: Putting Deepfakes to Good
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