Weakly Supervised Facial Analysis with Dense Hyper-Column Features.

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.93-101, (2016)

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Abstract:

Weakly supervised methods have recently become one of the most popular machine learning methods since they are able to be used on large-scale datasets without the critical requirement of richly annotated data. In this paper, we present a novel, self-taught, discriminative facial feature analysis approach in the weakly supervised framework...More

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