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Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks
Junliang Xing
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Oznake: computer science;computer vision
In this work, we introduce a novel Recurrent Attentive-Refinement (RAR) network for facial landmark detection under unconstrained conditions, suffering from challenges like facial occlusions and/or pose variations. RAR follows the pipeline of cascaded regressions that refines landmark locations prog ...
Leto: 2016 Vir: videolectures.net
Št. zadetkov: 1
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