Lightweight Face Recognition On Cfp Fp
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
---|---|---|---|
PocketNetS | 0.9334 | PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation | |
EdgeFace - S (g=0.5) | 0.9581 | EdgeFace: Efficient Face Recognition Model for Edge Devices | |
EdgeFace - XS (g=0.6) | 0.9437 | EdgeFace: Efficient Face Recognition Model for Edge Devices | |
Seesaw-shuffleFaceNet(mobi) | 0.9307 | SeesawFaceNets: sparse and robust face verification model for mobile platform |
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