Asian Female Facial Beauty Prediction Using Deep Neural Networks via Transfer Learning and Multi-Channel Feature Fusion

Asian Female Facial Beauty Prediction Using Deep Neural Networks via Transfer Learning and Multi-Channel Feature Fusion

Facial beauty plays an important role in many fields today, such as digital entertainment, facial beautification surgery and etc. However, the facial beauty prediction task has the challenges of insufficient training datasets, low performance of traditional methods, and rarely takes advantage of the...

Full description

Bibliographic Details
Main Authors: Yikui Zhai, Yu Huang, Ying Xu, Junying Gan, He Cao, Wenbo Deng, Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
double activation layer
facial beauty prediction (FBP)
feature fusion
softmax-MSE loss
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9035498/

Internet

https://ieeexplore.ieee.org/document/9035498/

Similar Items