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Methods for unconstrained face alignment must satisfy two requirements: (a) they must not rely on accurate initialization/face detection and (b) they should perform equally well for the whole spectrum of facial pose. To the best of our knowledge, there are no methods meeting these requirements to satisfactory extent, and in this paper, we propose(More)
Deep learning is an emerging field that promises unparalleled results on many data analysis problems. We show the success offered by such techniques when applied to the challenging problem of image-based plant phenotyping, and demonstrate state-of-the-art results for root and shoot feature identification and localisation. We predict a paradigm shift in(More)
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