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ResearchFormerly WizWand

Face Recognition on MegaFace Refined

95.8Rank-1 AccuracyMobileFaceNet
81.55285.25188.9592.649Aug 24, 2021
Updated 8mo ago

Evaluation results

MethodLinks
MobileFaceNetParams.(M)=2.0, MFLOPS=9332021.0895.896.8
MixFaceNet-MParams.(M)=3.95, MFLOPS=626.12021.0894.9595.83
VarGFaceNetParams.(M)=5.0, MFLOPS=10222021.0894.995.6
ShuffleMixFaceNet-MParams.(M)=3.95, MFLOPS=626.12021.0894.6495.22
PocketNetM-256Params.(M)=1.75, MFLOPS=1099.152021.0894.1394.4
ShuffleFaceNet 1.5xParams.(M)=2.6, MFLOPS=577.52021.0894.194.6
ShuffleMixFaceNet-SParams.(M)=3.07, MFLOPS=451.72021.0894.0795.19
PocketNetM-128Params.(M)=1.68, MFLOPS=1099.022021.0892.7794.17
MixFaceNet-SParams.(M)=3.07, MFLOPS=451.72021.0892.6793.79
PocketNetS-256Params.(M)=0.99, MFLOPS=587.242021.0892.2993.5
MobileFaceNetV1Params.(M)=3.4, MFLOPS=11002021.0891.793
PocketNetS-128Params.(M)=0.92, MFLOPS=587.112021.0891.2292.23
MixFaceNet-XSParams.(M)=1.04, MFLOPS=161.92021.0889.3591.04
ShuffleMixFaceNet-XSParams.(M)=1.04, MFLOPS=161.92021.0888.82391.03
ProxylessFaceNASParams.(M)=3.2, MFLOPS=9002021.0882.184.8