Deep Differentiable Random Forests for Age Estimation

IEEE Trans. Pattern Anal. Mach. Intell., pp. 404-419, 2019.

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Abstract:

Age estimation from facial images is typically cast as a label distribution learning or regression problem, since aging is a gradual progress. Its main challenge is the facial feature space w.r.t. ages is inhomogeneous, due to the large variation in facial appearance across different persons of the same age and the non-stationary property...More

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