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Models/EdgeFace - S (g=0.5)

EdgeFace - S (g=0.5)

Reported on 126 benchmarks across 6 tasks · 1 paper · 78 SOTA

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

Computer Vision46 results

  • Face ReconstructiononAgeDB-30
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononAgeDB-30
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCFP-FP
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCFP-FP
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCALFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCALFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCPLFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCPLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononIJB-C
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononIJB-C
    TAR @ FAR=0.01· 2023-07-04
    0.9563
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononIJB-B
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononIJB-B
    TAR @ FAR=0.01· 2023-07-04
    0.9358
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononAgeDB-30
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononAgeDB-30
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCFP-FP
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCFP-FP
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCALFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCALFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCPLFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCPLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononIJB-C
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononIJB-C
    TAR @ FAR=0.01· 2023-07-04
    0.9563
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononIJB-B
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononIJB-B
    TAR @ FAR=0.01· 2023-07-04
    0.9358
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononLFW
    Accuracy· uses extra data· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononAgeDB-30
    Accuracy· 2023-07-04
    0.9693
    best: 71.62 (USynthFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononLFW
    Accuracy· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononLFW
    MFLOPs· 2023-07-04
    306.11
    best: 587.24 (PocketNetS)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCALFW
    Accuracy· 2023-07-04
    0.9571
    best: 96.15 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononCPLFW
    Accuracy· 2023-07-04
    0.9256
    best: 93.37 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononIJB-C
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face ReconstructiononIJB-B
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononLFW
    Accuracy· uses extra data· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononAgeDB-30
    Accuracy· 2023-07-04
    0.9693
    best: 71.62 (USynthFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononLFW
    Accuracy· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononLFW
    MFLOPs· 2023-07-04
    306.11
    best: 587.24 (PocketNetS)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCALFW
    Accuracy· 2023-07-04
    0.9571
    best: 96.15 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononCPLFW
    Accuracy· 2023-07-04
    0.9256
    best: 93.37 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononIJB-C
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ReconstructiononIJB-B
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838

Methodology46 results

  • Face RecognitiononAgeDB-30
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononAgeDB-30
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCFP-FP
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCFP-FP
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCALFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCALFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCPLFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCPLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononIJB-C
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononIJB-C
    TAR @ FAR=0.01· 2023-07-04
    0.9563
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononIJB-B
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononIJB-B
    TAR @ FAR=0.01· 2023-07-04
    0.9358
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonAgeDB-30
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonAgeDB-30
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCFP-FP
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCFP-FP
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCALFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCALFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCPLFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCPLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonIJB-C
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonIJB-C
    TAR @ FAR=0.01· 2023-07-04
    0.9563
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonIJB-B
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonIJB-B
    TAR @ FAR=0.01· 2023-07-04
    0.9358
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononLFW
    Accuracy· uses extra data· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9933 (GhostFaceNetV2-1)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononAgeDB-30
    Accuracy· 2023-07-04
    0.9693
    best: 71.62 (USynthFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9933 (GhostFaceNetV2-1)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononLFW
    Accuracy· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononLFW
    MFLOPs· 2023-07-04
    306.11
    best: 587.24 (PocketNetS)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCALFW
    Accuracy· 2023-07-04
    0.9571
    best: 0.96233 (Prodpoly)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononCPLFW
    Accuracy· 2023-07-04
    0.9256
    best: 0.9465 (GhostFaceNetV2-1)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononIJB-C
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Face RecognitiononIJB-B
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonLFW
    Accuracy· uses extra data· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonAgeDB-30
    Accuracy· 2023-07-04
    0.9693
    best: 71.62 (USynthFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonLFW
    Accuracy· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonLFW
    MFLOPs· 2023-07-04
    306.11
    best: 587.24 (PocketNetS)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCALFW
    Accuracy· 2023-07-04
    0.9571
    best: 96.15 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonCPLFW
    Accuracy· 2023-07-04
    0.9256
    best: 93.37 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonIJB-C
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3DonIJB-B
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838

Music23 results

  • Facial Recognition and ModellingonAgeDB-30
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonAgeDB-30
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCFP-FP
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCFP-FP
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCALFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCALFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCPLFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCPLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonIJB-C
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonIJB-C
    TAR @ FAR=0.01· 2023-07-04
    0.9563
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonIJB-B
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonIJB-B
    TAR @ FAR=0.01· 2023-07-04
    0.9358
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonLFW
    Accuracy· uses extra data· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonAgeDB-30
    Accuracy· 2023-07-04
    0.9693
    best: 71.62 (USynthFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonLFW
    Accuracy· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonLFW
    MFLOPs· 2023-07-04
    306.11
    best: 587.24 (PocketNetS)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCALFW
    Accuracy· 2023-07-04
    0.9571
    best: 96.15 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonCPLFW
    Accuracy· 2023-07-04
    0.9256
    best: 93.37 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonIJB-C
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • Facial Recognition and ModellingonIJB-B
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838

Medical23 results

  • 3D Face ModellingonAgeDB-30
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonAgeDB-30
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCFP-FP
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCFP-FP
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCALFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCALFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCPLFW
    MFLOPs· 2023-07-04
    306.11
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCPLFW
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonIJB-C
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonIJB-C
    TAR @ FAR=0.01· 2023-07-04
    0.9563
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonIJB-B
    MParams· 2023-07-04
    3.65
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonIJB-B
    TAR @ FAR=0.01· 2023-07-04
    0.9358
    SOTA
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonLFW
    Accuracy· uses extra data· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonAgeDB-30
    Accuracy· 2023-07-04
    0.9693
    best: 71.62 (USynthFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCFP-FP
    Accuracy· 2023-07-04
    0.9581
    best: 0.9951 (PartialFC (R200))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonLFW
    Accuracy· 2023-07-04
    0.9978
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonLFW
    MFLOPs· 2023-07-04
    306.11
    best: 587.24 (PocketNetS)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCALFW
    Accuracy· 2023-07-04
    0.9571
    best: 96.15 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonCPLFW
    Accuracy· 2023-07-04
    0.9256
    best: 93.37 (DiscFace)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonIJB-C
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838
  • 3D Face ModellingonIJB-B
    MFLOPs· 2023-07-04
    306.11
    best: 451.7 (MixFaceNet-S)
    EdgeFace: Efficient Face Recognition Model for Edge DevicesarXiv:2307.01838