Face Anti Spoofing On Msu Mfsd
평가 지표
Equal Error Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Equal Error Rate | Paper Title | Repository |
|---|---|---|---|
| Color LBP | 10.8% | face anti-spoofing based on color texture analysis | |
| GFA-CNN | 7.5% | Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing | |
| Entry-V2 | 0 | Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning |
0 of 3 row(s) selected.