2M BeautyNet: Facial Beauty Prediction Based on Multi-Task Transfer Learning

2M BeautyNet: Facial Beauty Prediction Based on Multi-Task Transfer Learning

Facial beauty prediction (FBP) has become an emerging area in the field of artificial intelligence. However, the lacks of data and accurate face representation hinder the development of FBP. Multi-task transfer learning can effectively avoid over-fitting, and utilize auxiliary information of related...

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Bibliographic Details
Main Authors: Junying Gan, Li Xiang, Yikui Zhai, Chaoyun Mai, Guohui He, Junying Zeng, Zhenfeng Bai, Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Facial beauty prediction
multi-task transfer learning
multi-input multi-output network
multi-task loss weight automatic learning strategy
Online Access:https://ieeexplore.ieee.org/document/8967050/

Internet

https://ieeexplore.ieee.org/document/8967050/

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