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Models/MixFaceNet-S

MixFaceNet-S

Reported on 42 benchmarks across 6 tasks · 1 paper · 36 SOTA

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

Computer Vision14 results

Face ReconstructiononLFW
MFLOPs· 2021-07-27
451.7
best: 587.24 (PocketNetS)
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face ReconstructiononLFW
MParams· 2021-07-27
3.07
best: 3.65 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face ReconstructiononIJB-C
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face ReconstructiononIJB-C
TAR @ FAR=0.01· 2021-07-27
0.923
best: 0.9563 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face ReconstructiononIJB-B
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face ReconstructiononIJB-B
TAR @ FAR=0.01· 2021-07-27
0.9017
best: 0.9358 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononLFW
MFLOPs· 2021-07-27
451.7
best: 587.24 (PocketNetS)
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononLFW
MParams· 2021-07-27
3.07
best: 3.65 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononIJB-C
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononIJB-C
TAR @ FAR=0.01· 2021-07-27
0.923
best: 0.9563 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononIJB-B
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononIJB-B
TAR @ FAR=0.01· 2021-07-27
0.9017
best: 0.9358 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face ReconstructiononLFW
Accuracy· 2021-07-27
0.996
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ReconstructiononLFW
Accuracy· 2021-07-27
0.996
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046

Methodology14 results

Face RecognitiononLFW
MFLOPs· 2021-07-27
451.7
best: 587.24 (PocketNetS)
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face RecognitiononLFW
MParams· 2021-07-27
3.07
best: 3.65 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face RecognitiononIJB-C
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face RecognitiononIJB-C
TAR @ FAR=0.01· 2021-07-27
0.923
best: 0.9563 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face RecognitiononIJB-B
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face RecognitiononIJB-B
TAR @ FAR=0.01· 2021-07-27
0.9017
best: 0.9358 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonLFW
MFLOPs· 2021-07-27
451.7
best: 587.24 (PocketNetS)
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonLFW
MParams· 2021-07-27
3.07
best: 3.65 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonIJB-C
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonIJB-C
TAR @ FAR=0.01· 2021-07-27
0.923
best: 0.9563 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonIJB-B
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonIJB-B
TAR @ FAR=0.01· 2021-07-27
0.9017
best: 0.9358 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Face RecognitiononLFW
Accuracy· 2021-07-27
0.996
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3DonLFW
Accuracy· 2021-07-27
0.996
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046

Music7 results

Facial Recognition and ModellingonLFW
MFLOPs· 2021-07-27
451.7
best: 587.24 (PocketNetS)
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Facial Recognition and ModellingonLFW
MParams· 2021-07-27
3.07
best: 3.65 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Facial Recognition and ModellingonIJB-C
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Facial Recognition and ModellingonIJB-C
TAR @ FAR=0.01· 2021-07-27
0.923
best: 0.9563 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Facial Recognition and ModellingonIJB-B
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Facial Recognition and ModellingonIJB-B
TAR @ FAR=0.01· 2021-07-27
0.9017
best: 0.9358 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
Facial Recognition and ModellingonLFW
Accuracy· 2021-07-27
0.996
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046

Medical7 results

3D Face ModellingonLFW
MFLOPs· 2021-07-27
451.7
best: 587.24 (PocketNetS)
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ModellingonLFW
MParams· 2021-07-27
3.07
best: 3.65 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ModellingonIJB-C
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ModellingonIJB-C
TAR @ FAR=0.01· 2021-07-27
0.923
best: 0.9563 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ModellingonIJB-B
MFLOPs· 2021-07-27
451.7
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ModellingonIJB-B
TAR @ FAR=0.01· 2021-07-27
0.9017
best: 0.9358 (EdgeFace - S (g=0.5))
SOTA
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046
3D Face ModellingonLFW
Accuracy· 2021-07-27
0.996
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
MixFaceNets: Extremely Efficient Face Recognition Networks arXiv:2107.13046