Abstract: Highlights•Deep learning techniques for facial beauty prediction.•Learning feature alignment across multiple attribute domain data.•Learning attribute-guided feature representation for better feature alignment.•Attribute-guided convolution to dynamically adjusts convolutional parameters.•Attribute-guided batch normalization to compute attribute-specific statistics.
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