Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles

Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles

Deep data-driven methodologies have significantly enhanced the automatic facial beauty prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its wide utilization in classification-based applications, the adoption of CNN in regression research is still constrained. In...

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Bibliographic Details
Main Authors: Jwan Najeeb Saeed, Adnan Mohsin Abdulazeez, Dheyaa Ahmed Ibrahim
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
facial beauty prediction (FBP)
knowledge transfer
regression-based CNN
Log-cosh loss function
ensemble learning
Online Access:https://www.mdpi.com/2076-3417/13/17/9728

Internet

https://www.mdpi.com/2076-3417/13/17/9728

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