Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild
IEEE Trans. Pattern Anal. Mach. Intell., 2018.
We propose a method designed to push the frontiers of unconstrained face recognition in the wild with an emphasis on extreme out-of-plane pose variations. Existing methods either expect a single model to learn pose invariance by training on massive amounts of data or else normalize images by aligning faces to a single frontal pose. Contra...More
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