Transferring Rich Deep Features for Facial Beauty Prediction

20 Mar 2018Lu XuJinhai XiangXiaohui Yuan

Feature extraction plays a significant part in computer vision tasks. In this paper, we propose a method which transfers rich deep features from a pretrained model on face verification task and feeds the features into Bayesian ridge regression algorithm for facial beauty prediction... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Facial Beauty Prediction ECCV HotOrNot CNN features + Bayesian ridge regression Pearson Correlation 0.468 # 1
Facial Beauty Prediction SCUT-FBP CNN features + Bayesian ridge regression MAE 0.2595 # 1