Face Verification Accuracy and Calibration on RFW (test) benchmark leaderboard · SOTA2 Research

Face Verification Accuracy and Calibration on RFW (test)

98.95AUROCAC-Ridge

Evaluation Results

Method	Links
AC-Ridge2026.06		98.95	70.6	88.09	98.2	0.0338	0.0388	1
AC-Linear2026.06		98.74	69.8	85.89	97.97	0.0194	0.04	2
AC-MLP2026.06		98.66	67.74	84.51	97.9	0.0214	0.042	1
FairCal2026.06		98.63	70.83	85.58	97.73	0.0137	0.0414	1
Oracle2026.06		98.52	73.13	85.13	97.6	0.0121	0.0425	—
DemoNorm2026.06		98.46	72.21	85.16	97.6	0.1502	0.1295	—
AC-Ridge2026.06		98.43	63.4	83.72	97.39	0.0394	0.0478	0
FRAPPE2026.06		98.43	70.49	83.91	97.51	0.0123	0.0439	—
FALCON2026.06		98.41	70.37	83.52	97.6	0.3093	0.1701	4
GST2026.06		98.4	72.89	85.18	97.6	0.0138	0.0438	—
Baseline2026.06		98.39	69.97	83.39	97.6	0.2762	0.17	—
FSN2026.06		98.12	65.43	82.26	97.14	0.2678	0.155	1
AC-Linear2026.06		98.04	62.44	80.05	96.99	0.0219	0.0505	3
AC-MLP2026.06		97.98	59.73	79.15	96.91	0.0246	0.0519	0
FairCal2026.06		97.83	65.3	80.07	96.69	0.0168	0.0526	0
Oracle2026.06		97.58	62.94	79.06	96.27	0.0164	0.0559	—
DemoNorm2026.06		97.48	61.58	78.61	96.27	0.1534	0.1354	—
FALCON2026.06		97.46	61.96	78.06	96.3	0.3044	0.1786	4
Baseline2026.06		97.42	61.19	77.61	96.27	0.2677	0.1675	—
GST2026.06		97.42	63.17	78.9	96.27	0.0178	0.0573	—
FRAPPE2026.06		97.33	61.06	77.02	95.93	0.019	0.0592	—
FSN2026.06		97.16	57.64	76.38	95.82	0.2596	0.1531	0