Facial beauty prediction and analysis based on deep convolutional neural network: a review
J Saeed, AM Abdulazeez - Journal of Soft Computing and …, 2021 - penerbit.uthm.edu.my
Facial attractiveness or facial beauty prediction (FBP) is a current study that has several
potential usages. It is a key difficulty area in the computer vision domain because of the few …
potential usages. It is a key difficulty area in the computer vision domain because of the few …
[HTML][HTML] Deep learning based face beauty prediction via dynamic robust losses and ensemble regression
In the last decade, several studies have shown that facial attractiveness can be learned by
machines. In this paper, we address Facial Beauty Prediction from static images. The paper …
machines. In this paper, we address Facial Beauty Prediction from static images. The paper …
Automatic facial aesthetic prediction based on deep learning with loss ensembles
JN Saeed, AM Abdulazeez, DA Ibrahim - Applied Sciences, 2023 - mdpi.com
Deep data-driven methodologies have significantly enhanced the automatic facial beauty
prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its …
prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its …
[PDF][PDF] An ensemble dcnns-based regression model for automatic facial beauty prediction and analyzation
JN Saeed, AM Abdulazeez, DA Ibrahim - Traitement du Signal, 2023 - researchgate.net
Accepted: 10 February 2023 One of the most effective social aspects of the human face is its
attractiveness. Automatic facial beauty prediction (FBP) is an emerging research area that …
attractiveness. Automatic facial beauty prediction (FBP) is an emerging research area that …
Enhancing User Privacy Through Ephemeral Sharing Design: Experimental Evidence from Online Dating
Users on online dating platforms tend to encounter a cold-start problem, with limited user
engagement in the initial stages of the matching process; this is partially due to privacy …
engagement in the initial stages of the matching process; this is partially due to privacy …
Facial beauty prediction fusing transfer learning and broad learning system
J Gan, X Xie, Y Zhai, G He, C Mai, H Luo - Soft Computing, 2023 - Springer
Facial beauty prediction (FBP) is an important and challenging problem in the fields of
computer vision and machine learning. Not only it is easily prone to overfitting due to the …
computer vision and machine learning. Not only it is easily prone to overfitting due to the …
2M BeautyNet: Facial beauty prediction based on multi-task transfer learning
J Gan, L Xiang, Y Zhai, C Mai, G He, J Zeng… - IEEE …, 2020 - ieeexplore.ieee.org
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 …
intelligence. However, the lacks of data and accurate face representation hinder the …
Geometric prior guided hybrid deep neural network for facial beauty analysis
T Peng, M Li, F Chen, Y Xu… - CAAI Transactions on …, 2024 - Wiley Online Library
Facial beauty analysis is an important topic in human society. It may be used as a guidance
for face beautification applications such as cosmetic surgery. Deep neural networks (DNNs) …
for face beautification applications such as cosmetic surgery. Deep neural networks (DNNs) …
Personalized facial beauty assessment: A meta-learning approach
I Lebedeva, F Ying, Y Guo - The Visual Computer, 2023 - Springer
Automatic facial beauty assessment has recently attracted a growing interest and achieved
impressive results. However, despite the obvious subjectivity of beauty perception, most …
impressive results. However, despite the obvious subjectivity of beauty perception, most …
Facial Beauty Prediction Based on Deep Learning: A Review
W Arabo, AM Abdulazeez - Indonesian Journal of Computer Science, 2024 - 3.8.6.95
This review delves into Facial Beauty Prediction (FBP) using deep learning, specifically
focusing on convolutional neural networks (CNNs). It synthesizes recent advancements in …
focusing on convolutional neural networks (CNNs). It synthesizes recent advancements in …