Table 10. EER comparison of proposed FV-EffResNet with other considered methods.

		Databases
Methods	FV_USM	MMCBNU_600	SDUMLA	NUPT-FV
Tang et al. (2019)	0.50	0.17	0.87	–
Hao, Fang & Yang (2020)	0.74	0.29	1.17	–
Yang et al. (2020)	0.95	1.11	1.71	–
Boucherit et al. (2022)	1.37	–	0.99	–
Huang et al. (2021)	0.34	0.08	0.35	–
Huang et al. (2023)	0.20	0.18	1.10	–
FV-EffResNet	0.39	0.21	0.43	0.18