Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation

CVPR 2017 Stephane LathuiliereRemi JugePablo MesejoRafael Munoz-SalinasRadu Horaud

Convolutional Neural Networks (ConvNets) have become the state-of-the-art for many classification and regression problems in computer vision. When it comes to regression, approaches such as measuring the Euclidean distance of target and predictions are often employed as output layer... (read more)

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