LFW Dataset¶

Results¶

LFW presents a 10 fold evaluation protocol for open-set identification. Follow below the average True Positive Identification Rate measures under different False Alarm Rates (10 folds averaging).

System

TPIR% (FAR=0.1)

TPIR% (FAR=0.01)

TPIR% (FAR=0.001)

VGG16

Facenet

99.6 (0.66)

98.37 (0.82)

93.13 (3.71)

Dr GAN

97.45 (0.96)

88.41 (1.81)

75.27 (10.12)

CasiaNET

96.81 (0.91)

52.0 (8.87)

13.13 (6.76)

CNN8

96.93 (0.83)

45.55 (11.85)

15.63 (10.98)

Casia WebFace - Resnetv1 cross loss gray

98.29 (0.91)

93.18 (1.57)

79.16 (9.6)

Casia WebFace - Resnetv1 cross loss rgb

98.36 (0.56)

92.53 (1.54)

77.53 (11.13)

Casia WebFace - Resnetv2 center loss gray

98.51 (0.64)

91.68 (2.13)

79.91 (4.97)

Casia WebFace - Resnetv2 center loss rgb

98.58 (0.65)

92.18 (1.68)

78.9 (10.35)

MSCeleb - Resnetv2 center loss rgb

99.77 (0.19 )

99.18 (0.43 )

77.75 (30.82)

Since these protocols are open-set, another way analyze this dataset is via an Open Set Identification evaluation. Follow below Detection Identification Rate for the first fold.