Facial Beauty Prediction Combining Dual-Branch Feature Fusion With a Stacked Broad Learning System

Facial Beauty Prediction Combining Dual-Branch Feature Fusion With a Stacked Broad Learning System

Facial beauty prediction (FBP) is a key computer vision task that uses algorithms to assess facial attractiveness. Current models rely on single feature extraction, such as using a single convolutional neural network to extract local feature, failing to capture other potentially more important infor...

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Bibliographic Details
Main Authors: Junying Gan, Hantian Chen, Wenchao Xu, Huicong Li, Zhenxin Zhuang, Zhen Chen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Broad learning system
facial beauty prediction
feature fusion
transfer learning
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/11078664/
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