2023
DOI: 10.1051/e3sconf/202342601041
|View full text |Cite
|
Sign up to set email alerts
|

Age estimation through facial images using Deep CNN Pretrained Model and Particle Swarm Optimization

Nicholas Hans Muliawan,
Edbert Valencio Angky,
Simeon Yuda Prasetyo

Abstract: There has been a lot of recent study on age estimates utilizing different optimization techniques, architecture models, and diverse strategies with some variations. However, accuracy improvement in age estimation studies remains a challenge due to the inability of traditional approaches to effectively capture complex facial features and variations. Therefore, this study investigates the usage of Particle Swarm Optimization in Deep CNN models to improve accuracy. The focus of the study is on exploring different… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 15 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?