Face Image Quality Assessment on AgeDB 30
11.894pAUCRankIQ
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| RankIQFR Model=MagFace, Discard Rate=0.3, FMR=10^-32026.05 | 11.894 | — | — | |
| RankIQFR Model=CurricularFace, Discard Rate=0.3, FMR=10^-32026.05 | 11.441 | — | — | |
| RankIQFR Model=ArcFace, Discard Rate=0.3, FMR=10^-32026.05 | 10.7 | — | — | |
| RankIQFR Model=ElasticFace, Discard Rate=0.3, FMR=10^-32026.05 | 10.588 | — | — | |
| PreFIQsFR Model=MagFace, Discard Rate=0.3, FMR=10^-32026.05 | 7.432 | — | — | |
| PreFIQsFR Model=CurricularFace, Discard Rate=0.3, FMR=10^-32026.05 | 7.02 | — | — | |
| PreFIQsFR Model=ArcFace, Discard Rate=0.3, FMR=10^-32026.05 | 6.876 | — | — | |
| PreFIQsFR Model=ElasticFace, Discard Rate=0.3, FMR=10^-32026.05 | 6.6 | — | — | |
| EX-FIQA-FW (C)FR Backbone=ArcFace, Method Category=FIQA2026.04 | — | 0.0184 | 0.0252 | |
| EX-FIQA-FW (C)FR Backbone=CurricularFace, Method Category=FIQA2026.04 | — | 0.0189 | 0.0219 | |
| SER-FIQFR Backbone=ArcFace, Method Category=FIQA2026.04 | — | 0.0167 | 0.0223 | |
| ViTNT-FIQAFR backbone=ArcFace, Method Category=FIQA2026.01 | — | 0.0249 | 0.0349 | |
| ViTNT-FIQAFR backbone=ElasticFace, Method Category=FIQA2026.01 | — | 0.0234 | 0.0249 | |
| ViTNT-FIQAFR backbone=MagFace, Method Category=FIQA2026.01 | — | 0.0259 | 0.0512 | |
| ViTNT-FIQAFR backbone=CurricularFace, Method Category=FIQA2026.01 | — | 0.0262 | 0.0302 |