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Models/ArcFaceR50 + EM-FRR

ArcFaceR50 + EM-FRR

Reported on 18 benchmarks across 6 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision9 results

Face VerificationonLFW
BFAR· 2022-10-24
33.65
SOTA
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Face ReconstructiononLFW
BFAR· 2022-10-24
33.65
SOTA
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3D Face ReconstructiononLFW
BFAR· 2022-10-24
33.65
SOTA
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Face VerificationonLFW
BFRR· 2022-10-24
5.89
best: 11.22 (ArcFaceR50 + EM-FAR)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Face VerificationonLFW
FRR@FAR(%)· 2022-10-24
0.1
best: 0.164 (ArcFaceR50 + EM-C)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Face ReconstructiononLFW
BFRR· 2022-10-24
5.89
best: 11.22 (ArcFaceR50 + EM-FAR)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Face ReconstructiononLFW
FRR@FAR(%)· 2022-10-24
0.1
best: 0.164 (ArcFaceR50 + EM-C)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3D Face ReconstructiononLFW
BFRR· 2022-10-24
5.89
best: 11.22 (ArcFaceR50 + EM-FAR)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3D Face ReconstructiononLFW
FRR@FAR(%)· 2022-10-24
0.1
best: 0.164 (ArcFaceR50 + EM-C)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664

Music3 results

Facial Recognition and ModellingonLFW
BFAR· 2022-10-24
33.65
SOTA
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Facial Recognition and ModellingonLFW
BFRR· 2022-10-24
5.89
best: 11.22 (ArcFaceR50 + EM-FAR)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
Facial Recognition and ModellingonLFW
FRR@FAR(%)· 2022-10-24
0.1
best: 0.164 (ArcFaceR50 + EM-C)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664

Methodology3 results

3DonLFW
BFAR· 2022-10-24
33.65
SOTA
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3DonLFW
BFRR· 2022-10-24
5.89
best: 11.22 (ArcFaceR50 + EM-FAR)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3DonLFW
FRR@FAR(%)· 2022-10-24
0.1
best: 0.164 (ArcFaceR50 + EM-C)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664

Medical3 results

3D Face ModellingonLFW
BFAR· 2022-10-24
33.65
SOTA
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3D Face ModellingonLFW
BFRR· 2022-10-24
5.89
best: 11.22 (ArcFaceR50 + EM-FAR)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664
3D Face ModellingonLFW
FRR@FAR(%)· 2022-10-24
0.1
best: 0.164 (ArcFaceR50 + EM-C)
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model arXiv:2210.13664