Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration

Kotwal, Ketan; Marcel, Sébastien

doi:10.1109/wacvw60836.2024.00125

2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) 2024

DOI: 10.1109/wacvw60836.2024.00125

|View full text |Cite

Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration

Ketan Kotwal,

Sébastien Marcel

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...

Other3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Our Deep CNN Face Matchers Have Developed Achromatopsia

Bhatta,

Mery,

et al. 2024

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

View full text Add to dashboard Cite

Our Deep CNN Face Matchers Have Developed Achromatopsia

Bhatta,

Mery,

et al. 2024

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

View full text Add to dashboard Cite

Demographic Fairness Transformer for Bias Mitigation in Face Recognition

Kotwal,

Marcel

2024

2024 IEEE International Joint Conference on Biometrics (IJCB)

View full text Add to dashboard Cite

Score Normalization for Demographic Fairness in Face Recognition

Linghu,

de Freitas Pereira,

Ecabert

et al. 2024

2024 IEEE International Joint Conference on Biometrics (IJCB)

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.

Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration

Cited by 3 publications

References 42 publications

Our Deep CNN Face Matchers Have Developed Achromatopsia

Our Deep CNN Face Matchers Have Developed Achromatopsia

Demographic Fairness Transformer for Bias Mitigation in Face Recognition

Score Normalization for Demographic Fairness in Face Recognition

Contact Info

Product

Resources

About