BeautyNet: Joint Multiscale CNN and Transfer Learning Method for Unconstrained Facial Beauty Prediction

Table 7

Performance comparison of state-of-the-art methods.

Method	Transfer learning	Classification accuracy (%)	Pearson’s correlation coefficient
Raw pixel [15]	No	48.11	—
Eigenfaces [15]	No	46.52	—
CRBM [15]	No	51.62	—
K-means [15]	No	52.54	—
Multiscale K-means [15]	No	55.07	—
NIN_Imagenet [45]	No	55.60	74.69
NIN_Imagenet [45]	Yes	58.30	76.96
DeepID2 [46]	No	55.90	73.75
DeepID2 [46]	Yes	60.25	76.57
GoogLeNet [47]	No	57.20	78.14
GoogLeNet [47]	Yes	62.59	79.78
VGG_CNN_S [48]	No	57.30	78.87
VGG_CNN_S [48]	Yes	62.69	81.12
LightenNet	No	64.36	79.41
LightenNet	Yes	65.82	81.59
BeautyNet	No	64.84	80.20
BeautyNet	Yes	67.48	83.54