Face Recognition on MegaFace Refined
95.8Rank-1 AccuracyMobileFaceNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MobileFaceNetParams.(M)=2.0, MFLOPS=9332021.08 | 95.8 | 96.8 | |
| MixFaceNet-MParams.(M)=3.95, MFLOPS=626.12021.08 | 94.95 | 95.83 | |
| VarGFaceNetParams.(M)=5.0, MFLOPS=10222021.08 | 94.9 | 95.6 | |
| ShuffleMixFaceNet-MParams.(M)=3.95, MFLOPS=626.12021.08 | 94.64 | 95.22 | |
| PocketNetM-256Params.(M)=1.75, MFLOPS=1099.152021.08 | 94.13 | 94.4 | |
| ShuffleFaceNet 1.5xParams.(M)=2.6, MFLOPS=577.52021.08 | 94.1 | 94.6 | |
| ShuffleMixFaceNet-SParams.(M)=3.07, MFLOPS=451.72021.08 | 94.07 | 95.19 | |
| PocketNetM-128Params.(M)=1.68, MFLOPS=1099.022021.08 | 92.77 | 94.17 | |
| MixFaceNet-SParams.(M)=3.07, MFLOPS=451.72021.08 | 92.67 | 93.79 | |
| PocketNetS-256Params.(M)=0.99, MFLOPS=587.242021.08 | 92.29 | 93.5 | |
| MobileFaceNetV1Params.(M)=3.4, MFLOPS=11002021.08 | 91.7 | 93 | |
| PocketNetS-128Params.(M)=0.92, MFLOPS=587.112021.08 | 91.22 | 92.23 | |
| MixFaceNet-XSParams.(M)=1.04, MFLOPS=161.92021.08 | 89.35 | 91.04 | |
| ShuffleMixFaceNet-XSParams.(M)=1.04, MFLOPS=161.92021.08 | 88.823 | 91.03 | |
| ProxylessFaceNASParams.(M)=3.2, MFLOPS=9002021.08 | 82.1 | 84.8 |