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ResearchFormerly WizWand

Face Image Quality Assessment on AgeDB 30

11.894pAUCRankIQ
6.388247.817629.24710.67638May 13, 2026
Updated 5mo ago

Evaluation results

MethodLinks
RankIQFR Model=MagFace, Discard Rate=0.3, FMR=10^-32026.0511.894——
RankIQFR Model=CurricularFace, Discard Rate=0.3, FMR=10^-32026.0511.441——
RankIQFR Model=ArcFace, Discard Rate=0.3, FMR=10^-32026.0510.7——
RankIQFR Model=ElasticFace, Discard Rate=0.3, FMR=10^-32026.0510.588——
PreFIQsFR Model=MagFace, Discard Rate=0.3, FMR=10^-32026.057.432——
PreFIQsFR Model=CurricularFace, Discard Rate=0.3, FMR=10^-32026.057.02——
PreFIQsFR Model=ArcFace, Discard Rate=0.3, FMR=10^-32026.056.876——
PreFIQsFR Model=ElasticFace, Discard Rate=0.3, FMR=10^-32026.056.6——
EX-FIQA-FW (C)FR Backbone=ArcFace, Method Category=FIQA2026.04—0.01840.0252
EX-FIQA-FW (C)FR Backbone=CurricularFace, Method Category=FIQA2026.04—0.01890.0219
SER-FIQFR Backbone=ArcFace, Method Category=FIQA2026.04—0.01670.0223
ViTNT-FIQAFR backbone=ArcFace, Method Category=FIQA2026.01—0.02490.0349
ViTNT-FIQAFR backbone=ElasticFace, Method Category=FIQA2026.01—0.02340.0249
ViTNT-FIQAFR backbone=MagFace, Method Category=FIQA2026.01—0.02590.0512
ViTNT-FIQAFR backbone=CurricularFace, Method Category=FIQA2026.01—0.02620.0302