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Variational Prototype Learning for Deep Face Recognition

CVPR 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Margin-based face recognition losses · 89 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add memorized feature injection to ArcFace prototypesArcFace (ResNet50) · CFP-FPverification accuracy (%): 98.54 -> 98.96Helped
Add memorized feature injection to ArcFace prototypesArcFace (ResNet50) · IJB-CTAR@FAR=1e-4: 96.21 -> 96.61Helped
Add memorized feature injection to CosFace prototypesCosFace (ResNet50) · CFP-FPverification accuracy (%): 98.51 -> 98.81Helped
Add memorized feature injection to CurricularFace prototypesCurricularFace (ResNet50) · IJB-CTAR@FAR=1e-4: 96.30 -> 96.65Helped
Set feature injection weight λ to 0.15 rather than 0 (ablation)VPL-ArcFace (ResNet50) · IJB-CTAR@FAR=1e-4: 96.21 -> 96.61Helped
Increase feature injection weight from λ = 0.15 to λ = 0.2 (ablation)VPL-ArcFace (ResNet50) · CFP-FPverification accuracy (%): 98.96 -> 98.82Hurt
Increase maximum accumulated iterations ∆t from 0 to 100 (ablation)VPL-ArcFace (ResNet50) · IJB-CTAR@FAR=1e-4: 96.21 -> 96.61Helped
Increase maximum accumulated iterations from ∆t = 100 to ∆t = 2000 (ablation)VPL-ArcFace (ResNet50) · IJB-CTAR@FAR=1e-4: 96.61 -> 96.22Hurt
Apply feature injection only to the Asian group (ablation)ArcFace (ResNet50) · IFRT Asian1:1 verification accuracy (%): 37.27 -> 39.85Helped
Apply feature injection only to long-tail classes (ablation)ArcFace (ResNet50) · IFRT All1:1 verification accuracy (%): 70.99 -> 72.78Helped

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