A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection

CVPR 2017 Jiangjing LvXiaohu ShaoJunliang XingCheng ChengXi Zhou

Regression based facial landmark detection methods usually learns a series of regression functions to update the landmark positions from an initial estimation. Most of existing approaches focus on learning effective mapping functions with robust image features to improve performance... (read more)

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