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Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection

CVPR 2016 · Label-efficient and robust learning › Recognition and long-tail · approach: Margin-based face recognition losses · 81 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add the AU–landmark relationship constraint to landmark prediction (ablation)CJCRF · CK+normalized landmark detection error: 5.13 -> 4.86Helped
add the AU–landmark relationship constraint to landmark prediction (ablation)CJCRF · CK+AU F1 (%): 70.80 -> 72.02Helped
add the face-shape relationship constraint to AU prediction (ablation)CJCRF · CK+normalized landmark detection error: 5.13 -> 5.18Hurt
add the face-shape relationship constraint to AU prediction (ablation)CJCRF · CK+AU F1 (%): 70.80 -> 78.72Helped
constrain both landmark and AU prediction using their learned joint relationships (ablation)CJCRF · CK+AU F1 (%): 70.80 -> 78.74Helped
constrain both landmark and AU prediction using their learned joint relationships (ablation)CJCRF · CK+AU AUC: 89.86 -> 94.28Helped
jointly estimate landmarks and AU activations with the learned relationship constraintCJCRF · CK+normalized landmark detection error: 4.96 -> 4.66Helped
jointly estimate landmarks and AU activations with the learned relationship constraintCJCRF · FERAAU F1 (%): 56.58* -> 59.66Helped

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