TransBLS: transformer combined with broad learning system for facial beauty prediction
Author:
Funder
National Natural Science Foundation of China
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04931-8.pdf
Reference51 articles.
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3. Chen F, Xiao X, Zhang D (2016) Data-driven facial beauty analysis: prediction, retrieval and manipulation. IEEE Trans Affect Comput 9(2):205–216
4. Gan J, Jiang K, Tan H, He G (2020) Facial beauty prediction based on lighted deep convolution neural network with feature extraction strengthened. Chin J Electron 29(2):312–321
5. Zhai Y, Huang Y, Xu Y, Gan J, Cao H, Deng W, Labati RD, Piuri V, Scotti F (2020) Asian female facial beauty prediction using deep neural networks via transfer learning and multi-channel feature fusion. IEEE Access 8:56892–56907
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1. Facial Beauty Prediction Combined with Multi-Task Learning of Adaptive Sharing Policy and Attentional Feature Fusion;Electronics;2023-12-30
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