Face Verification on IJCB Efficient Face Recognition Competition Global Ranking 2023
1Accuracy Rank (BC)ShuffleNetv2x0.5
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ShuffleNetv2x0.5Category=2 MP, Params [M]=0.172023.07 | 1 | 17.14 | 1 | 0.77 | 1 | 7 | |
| ShuffleNetv2x2.0Category=2-5 MP, Params [M]=4.972023.07 | 3 | 310.92 | 6 | 20 | 9 | 9 | |
| MobileNetV2-visteamCategory=2 MP, Params [M]=1.702023.07 | 7 | 86.2 | 2 | 3.38 | 3 | 6 | |
| EfficientNetb0-visteamCategory=2-5 MP, Params [M]=4.602023.07 | 7 | 212.5 | 3 | 9.18 | 7 | 8 | |
| SQ-HHCategory=2 MP, Params [M]=1.202023.07 | 10 | 1,399.39 | 8 | 4.55 | 8 | 8 | |
| MB2-HHCategory=2-5 MP, Params [M]=2.202023.07 | 12 | 741.67 | 9 | 8.15 | 3 | 7 | |
| ShuffleNetv2x1.5Category=2 MP, Params [M]=1.992023.07 | 20 | 147.21 | 4 | 7.9 | 4 | 5 | |
| Idiap EdgeFace-XXS-QCategory=2 MP, Params [M]=1.242023.07 | 22 | 94.72 | 3 | 1.73 | 2 | 4 | |
| Idiap EdgeFace-XS-QCategory=2-5 MP, Params [M]=2.242023.07 | 22 | 196.91 | 2 | 2.99 | 1 | 4 | |
| GhostFaceNetV1-2 KUCategory=2-5 MP, Params [M]=4.062023.07 | 29 | 60.29 | 1 | 8.07 | 2 | 2 | |
| Modified-MobileFaceNet V1Category=2-5 MP, Params [M]=2.102023.07 | 31 | 456.89 | 8 | 8.4 | 6 | 6 | |
| Modified-MobileFaceNet V2Category=2-5 MP, Params [M]=2.102023.07 | 32 | 456.89 | 7 | 8.4 | 5 | 5 | |
| SAM-MFaceNet eHWS V2Category=2 MP, Params [M]=1.102023.07 | 33 | 236.75 | 6 | 4.4 | 6 | 3 | |
| SAM-MFaceNet eHWS V1Category=2 MP, Params [M]=1.102023.07 | 35 | 236.75 | 7 | 4.4 | 5 | 2 | |
| GhostFaceNetV1-1 KUCategory=2-5 MP, Params [M]=4.092023.07 | 37 | 215.65 | 4 | 8.17 | 4 | 1 | |
| Idiap EdgeFace-XS(γ=0.6)Category=2 MP, Params [M]=1.772023.07 | 39 | 153.99 | 5 | 7.17 | 7 | 1 | |
| Idiap EdgeFace-S(γ=0.5)Category=2-5 MP, Params [M]=3.652023.07 | 39 | 306.11 | 5 | 14.69 | 8 | 3 |