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ResearchFormerly WizWand

Face Recognition on MegaFace

98.64Verification RateFC-R50
82.166486.443290.7294.9968May 21, 2021Jun 5, 2021Jun 21, 2021Jul 7, 2021Jul 23, 2021Aug 8, 2021Aug 24, 2021
Updated 8mo ago

Evaluation results

MethodLinks
FC-R50Training Dataset=Glint360k, Backbone=ResNet-502021.0598.64—
FC-R100Training Dataset=Webface42M, Backbone=ResNet-1002021.0598.57—
F2C-R100Training Dataset=Webface42M, Backbone=ResNet-1002021.0598.53—
FC-R50Training Dataset=MS1MV2, Backbone=ResNet-502021.0597.82—
F2C-R50Training Dataset=MS1MV2, Backbone=ResNet-502021.0596.74—
F2C-R50Training Dataset=Glint360k, Backbone=ResNet-502021.0596.73—
MobileFaceNetParams.(M)=2.0, MFLOPS=9332021.0895.279.3
MixFaceNet-MParams.(M)=3.95, MFLOPS=626.12021.0894.2678.2
ShuffleMixFaceNet-MParams.(M)=3.95, MFLOPS=626.12021.0894.2478.13
VarGFaceNetParams.(M)=5.0, MFLOPS=10222021.0893.978.2
ShuffleMixFaceNet-SParams.(M)=3.07, MFLOPS=451.72021.0893.677.41
ShuffleFaceNet 1.5xParams.(M)=2.6, MFLOPS=577.52021.089377.4
PocketNetM-256Params.(M)=1.75, MFLOPS=1099.152021.0892.7578.23
PocketNetM-128Params.(M)=1.68, MFLOPS=1099.022021.0892.4576.49
MixFaceNet-SParams.(M)=3.07, MFLOPS=451.72021.0892.2376.49
PocketNetS-256Params.(M)=0.99, MFLOPS=587.242021.0891.7776.53
MobileFaceNetV1Params.(M)=3.4, MFLOPS=11002021.0891.376
FC-MobileTraining Dataset=MS1MV2, Backbone=Mobile2021.0590.69—
PocketNetS-128Params.(M)=0.92, MFLOPS=587.112021.0890.5475.81
MixFaceNet-XSParams.(M)=1.04, MFLOPS=161.92021.0889.474.18
F2C-MobileTraining Dataset=MS1MV2, Backbone=Mobile2021.0589.3—
ShuffleMixFaceNet-XSParams.(M)=1.04, MFLOPS=161.92021.0889.2473.85
ProxylessFaceNASParams.(M)=3.2, MFLOPS=9002021.0882.869.7