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Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture

CVPR 2022 · Label-efficient and robust learning › Recognition and long-tail · approach: Margin-based face recognition losses · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the viewpoint-invariant hierarchical GlomFace architecture instead of the listed baselinesface alignment · Masked 300W ChallengingNME: 9.59 -> 8.81Helped
Use the viewpoint-invariant hierarchical GlomFace architecture instead of the listed baselinesface alignment · Masked 300W FullNME: 6.46 -> 5.98Helped
Use GlomFace instead of SDLface alignment · WFLW OcclusionNME: 4.98 -> 5.14Hurt
Use GlomFace instead of ADNetface alignment · 300W ChallengingNMEocular: 4.58 -> 4.87Hurt
Use GlomFace instead of ADNetface alignment · 300W FullNMEocular: 2.93 -> 3.20Hurt
Use GlomFace instead of ADNetface alignment · COFW29NMEpupil: 4.68 -> 4.37Helped
Use GlomFace instead of SDLface alignment · COFW68NMEocular: 4.22 -> 4.21Helped
Use GlomFace instead of hourglass-based boundary estimation68-landmark prediction · computational costFLOPS: 18.85G -> 13.48GHelped

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