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Models/EdgeFace - XS (g=0.6)

EdgeFace - XS (g=0.6)

Reported on 126 benchmarks across 6 tasks · 1 paper

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

Computer Vision44 results

Face ReconstructiononLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononAgeDB-30
Accuracy· 2023-07-04
0.96
best: 71.62 (USynthFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononAgeDB-30
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononAgeDB-30
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCFP-FP
Accuracy· 2023-07-04
0.9437
best: 0.9951 (PartialFC (R200))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCFP-FP
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCFP-FP
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononLFW
MFLOPs· 2023-07-04
154
best: 587.24 (PocketNetS)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCALFW
Accuracy· 2023-07-04
0.9528
best: 96.15 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCALFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCALFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCPLFW
Accuracy· 2023-07-04
0.9182
best: 93.37 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCPLFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononCPLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononIJB-C
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononIJB-C
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononIJB-C
TAR @ FAR=0.01· 2023-07-04
0.9485
best: 0.9563 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononIJB-B
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononIJB-B
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face ReconstructiononIJB-B
TAR @ FAR=0.01· 2023-07-04
0.9267
best: 0.9358 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononAgeDB-30
Accuracy· 2023-07-04
0.96
best: 71.62 (USynthFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononAgeDB-30
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononAgeDB-30
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCFP-FP
Accuracy· 2023-07-04
0.9437
best: 0.9951 (PartialFC (R200))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCFP-FP
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCFP-FP
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononLFW
MFLOPs· 2023-07-04
154
best: 587.24 (PocketNetS)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCALFW
Accuracy· 2023-07-04
0.9528
best: 96.15 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCALFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCALFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCPLFW
Accuracy· 2023-07-04
0.9182
best: 93.37 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCPLFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononCPLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononIJB-C
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononIJB-C
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononIJB-C
TAR @ FAR=0.01· 2023-07-04
0.9485
best: 0.9563 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononIJB-B
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononIJB-B
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ReconstructiononIJB-B
TAR @ FAR=0.01· 2023-07-04
0.9267
best: 0.9358 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838

Methodology44 results

Face RecognitiononLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononAgeDB-30
Accuracy· 2023-07-04
0.96
best: 71.62 (USynthFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononAgeDB-30
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononAgeDB-30
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCFP-FP
Accuracy· 2023-07-04
0.9437
best: 0.9933 (GhostFaceNetV2-1)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCFP-FP
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCFP-FP
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononLFW
MFLOPs· 2023-07-04
154
best: 587.24 (PocketNetS)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCALFW
Accuracy· 2023-07-04
0.9528
best: 0.96233 (Prodpoly)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCALFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCALFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCPLFW
Accuracy· 2023-07-04
0.9182
best: 0.9465 (GhostFaceNetV2-1)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCPLFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononCPLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononIJB-C
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononIJB-C
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononIJB-C
TAR @ FAR=0.01· 2023-07-04
0.9485
best: 0.9563 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononIJB-B
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononIJB-B
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Face RecognitiononIJB-B
TAR @ FAR=0.01· 2023-07-04
0.9267
best: 0.9358 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonAgeDB-30
Accuracy· 2023-07-04
0.96
best: 71.62 (USynthFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonAgeDB-30
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonAgeDB-30
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCFP-FP
Accuracy· 2023-07-04
0.9437
best: 0.9951 (PartialFC (R200))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCFP-FP
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCFP-FP
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonLFW
MFLOPs· 2023-07-04
154
best: 587.24 (PocketNetS)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCALFW
Accuracy· 2023-07-04
0.9528
best: 96.15 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCALFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCALFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCPLFW
Accuracy· 2023-07-04
0.9182
best: 93.37 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCPLFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonCPLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonIJB-C
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonIJB-C
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonIJB-C
TAR @ FAR=0.01· 2023-07-04
0.9485
best: 0.9563 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonIJB-B
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonIJB-B
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3DonIJB-B
TAR @ FAR=0.01· 2023-07-04
0.9267
best: 0.9358 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838

Music22 results

Facial Recognition and ModellingonLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonAgeDB-30
Accuracy· 2023-07-04
0.96
best: 71.62 (USynthFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonAgeDB-30
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonAgeDB-30
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCFP-FP
Accuracy· 2023-07-04
0.9437
best: 0.9951 (PartialFC (R200))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCFP-FP
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCFP-FP
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonLFW
MFLOPs· 2023-07-04
154
best: 587.24 (PocketNetS)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCALFW
Accuracy· 2023-07-04
0.9528
best: 96.15 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCALFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCALFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCPLFW
Accuracy· 2023-07-04
0.9182
best: 93.37 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCPLFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonCPLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonIJB-C
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonIJB-C
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonIJB-C
TAR @ FAR=0.01· 2023-07-04
0.9485
best: 0.9563 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonIJB-B
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonIJB-B
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
Facial Recognition and ModellingonIJB-B
TAR @ FAR=0.01· 2023-07-04
0.9267
best: 0.9358 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838

Medical22 results

3D Face ModellingonLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonAgeDB-30
Accuracy· 2023-07-04
0.96
best: 71.62 (USynthFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonAgeDB-30
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonAgeDB-30
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCFP-FP
Accuracy· 2023-07-04
0.9437
best: 0.9951 (PartialFC (R200))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCFP-FP
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCFP-FP
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonLFW
Accuracy· 2023-07-04
0.9973
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonLFW
MFLOPs· 2023-07-04
154
best: 587.24 (PocketNetS)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCALFW
Accuracy· 2023-07-04
0.9528
best: 96.15 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCALFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCALFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCPLFW
Accuracy· 2023-07-04
0.9182
best: 93.37 (DiscFace)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCPLFW
MFLOPs· 2023-07-04
154
best: 306.11 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonCPLFW
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonIJB-C
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonIJB-C
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonIJB-C
TAR @ FAR=0.01· 2023-07-04
0.9485
best: 0.9563 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonIJB-B
MFLOPs· 2023-07-04
154
best: 451.7 (MixFaceNet-S)
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonIJB-B
MParams· 2023-07-04
1.77
best: 3.65 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838
3D Face ModellingonIJB-B
TAR @ FAR=0.01· 2023-07-04
0.9267
best: 0.9358 (EdgeFace - S (g=0.5))
EdgeFace: Efficient Face Recognition Model for Edge Devices arXiv:2307.01838