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ResearchFormerly WizWand

Face Verification on AgeDB-30 (TAR %)

98.15TAR (%)VarGFaceNet
93.022894.353995.68597.0161Jul 4, 2023
Updated 8mo ago

Evaluation results

MethodLinks
VarGFaceNetMPARAMS=5.0, MFLOPS=10222023.0798.15
MobileFaceNetMPARAMS=2.0, MFLOPS=9332023.0797.6
ShuffleFaceNet 1.5xMPARAMS=2.6, MFLOPS=577.52023.0797.3
ShuffleFaceNet 2×MPARAMS=4.5, MFLOPS=10502023.0797.28
PocketNetM-256MPARAMS=1.75, MFLOPS=1099.152023.0797.17
MixFaceNet-MMPARAMS=3.95, MFLOPS=626.12023.0797.05
ShuffleMixFaceNet-SMPARAMS=3.07, MFLOPS=451.72023.0797.05
ShuffleMixFaceNet-MMPARAMS=3.95, MFLOPS=626.12023.0796.98
EdgeFace - SMPARAMS=3.65, MFLOPS=306.11, gamma=0.52023.0796.93
PocketNetM-128MPARAMS=1.68, MFLOPS=1099.022023.0796.78
MixFaceNet-SMPARAMS=3.07, MFLOPS=451.72023.0796.63
MobileFaceNetV1MPARAMS=3.4, MFLOPS=11002023.0796.4
PocketNetS-256MPARAMS=0.99, MFLOPS=587.242023.0796.35
PocketNetS-128MPARAMS=0.92, MFLOPS=587.112023.0796.1
MobileFaceNetsMPARAMS=0.99, MFLOPS=439.82023.0796.07
EdgeFace - XSMPARAMS=1.77, MFLOPS=154, gamma=0.62023.0796
MixFaceNet-XSMPARAMS=1.04, MFLOPS=161.92023.0795.85
ShuffleMixFaceNet-XSMPARAMS=1.04, MFLOPS=161.92023.0795.62
ProxylessFaceNASMPARAMS=3.2, MFLOPS=9002023.0794.4
ShuffleFaceNet 0.5xMPARAMS=0.5, MFLOPS=66.92023.0793.22