System and Method for Face Detection and Landmark Localization

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United States of America Patent

APP PUB NO 20170236057A1
SERIAL NO

15435273

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Abstract

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Disclosed herein is a deep learning model that can be used for performing speech or image processing tasks. The model uses multi-task training, where the model is trained for at least two inter-related tasks. For face detection, the first task is face detection (i.e. face or non-face) and the second task is facial feature identification (i.e. mouth, eyes, nose). The multi-task model improves the accuracy of the task over single-task models.

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Patent Owner(s)

Patent OwnerAddress
CARNEGIE MELLON UNIVERSITY5000 FORBES AVENUE PITTSBURGH PA 15213

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Lane, Ian Richard Sunnyvale, US 8 23
Yu, Bo Beijing, CN 288 1714

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