Label-Sensitive Deep Metric Learning for Facial Age Estimation

In this paper, we present a label-sensitive deep metric learning (LSDML) approach for facial age estimation. Motivated by the fact that human age labels are chronologically correlated, our proposed LSDML aims to seek a series of hierarchical nonlinear transformations by deep residual network to project face samples to a latent common space, where the… CONTINUE READING