A quantitative method for the assessment of facial attractiveness based on transfer learning with fine-grained image classification

Lo, Lun-Jou; Yang, Chao-Tung; Chiang, Wen-Chung; Lin, Hsiu-Hsia

doi:10.1016/j.patcog.2023.109970

Pattern Recognition

2024

DOI: 10.1016/j.patcog.2023.109970

|View full text |Cite

A quantitative method for the assessment of facial attractiveness based on transfer learning with fine-grained image classification

Lun-Jou Lo,

Chao-Tung Yang,

Wen-Chung Chiang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Quantification of facial symmetry in orthognathic surgery: A novel approach integrating 3D contour maps and hyper-dimensional computing

Ho,

Lo,

Chiang

et al. 2024

Computers in Biology and Medicine

View full text Add to dashboard Cite

Quantification of facial symmetry in orthognathic surgery: A novel approach integrating 3D contour maps and hyper-dimensional computing

Ho,

Lo,

Chiang

et al. 2024

Computers in Biology and Medicine

View full text Add to dashboard Cite

Transfer Learning Enabled Imagined Speech Interpretation Using Phase-Based Brain Functional Connectivity and Power Analysis

Bisla,

Shyam Anand

2024

IEEE Access

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A quantitative method for the assessment of facial attractiveness based on transfer learning with fine-grained image classification

Cited by 2 publications

References 45 publications

Quantification of facial symmetry in orthognathic surgery: A novel approach integrating 3D contour maps and hyper-dimensional computing

Quantification of facial symmetry in orthognathic surgery: A novel approach integrating 3D contour maps and hyper-dimensional computing

Transfer Learning Enabled Imagined Speech Interpretation Using Phase-Based Brain Functional Connectivity and Power Analysis

Contact Info

Product

Resources

About