Toward Fair Facial Expression Recognition with Improved Distribution Alignment

We present a novel approach to mitigate bias in facial expression recognition (FER) models. Our method aims to reduce sensitive attribute information such as gender, age, or race, in the embeddings produced by FER models. We employ a kernel mean shrinkage estimator to estimate the kernel mean of the...

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Hauptverfasser:	Kolahdouzi, Mojtaba, Etemad, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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