Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources

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Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources

Our goal is to design architectures that retain the groundbreaking performance of CNNs for landmark localization and at the same time are lightweight, compact and suitable for applications with limited computational resources. To this end, we make the following contributions: (a) we are the first to...

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Bibliographic Details
Main Authors:	Bulat, Adrian, Tzimiropoulos, Georgios
Format:	Conference or Workshop Item
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/44753/

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