Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach

Author:

Vitek Matej1ORCID,Das Abhijit2,Lucio Diego Rafael3ORCID,Zanlorensi Luiz Antonio3ORCID,Menotti David3ORCID,Khiarak Jalil Nourmohammadi4ORCID,Shahpar Mohsen Akbari5,Asgari-Chenaghlu Meysam5,Jaryani Farhang6,Tapia Juan E.7ORCID,Valenzuela Andres8ORCID,Wang Caiyong9ORCID,Wang Yunlong10,He Zhaofeng11,Sun Zhenan10ORCID,Boutros Fadi12ORCID,Damer Naser12ORCID,Grebe Jonas Henry12,Kuijper Arjan12ORCID,Raja Kiran13ORCID,Gupta Gourav13,Zampoukis Georgios14,Tsochatzidis Lazaros14,Pratikakis Ioannis14,Kumar S. V. Aruna15,Harish B. S.16,Pal Umapada17ORCID,Peer Peter1ORCID,Struc Vitomir18ORCID

Affiliation:

1. Computer Vision Laboratory, Faculty of Computer and Information Science, University of Ljubljana (UL), Ljubljana, Slovenia

2. Department of Computer Science and Information Science, Birla Institute of Technology and Science Pilani (BITS), Pilani, India

3. Department of Informatics, Federal University of Paraná (UFPR), Curitiba, Brazil

4. Institute of Control and Computation Engineering, Warsaw University of Technology (WUT), Warszawa, Poland

5. Department of Computer Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

6. Faculty of Engineering, Arak University (AU), Arak, Iran

7. Biometrics and Internet-Security Research Group (da/sec), Hochschule Darmstadt (HDA), Darmstadt, Germany

8. R&D Center, TOC Biometrics (TOC), Santiago, Chile

9. School of Electrical and Information Engineering, University of Civil Engineering and Architecture (BUCEA), Beijing, China

10. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

11. School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China

12. Smart Living and Biometric Technologies Department, Fraunhofer Institute for Computer Graphics Research (IGD), Darmstadt, Germany

13. Department of Computer Science, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway

14. Department of Electrical and Computer Engineering, Democritus University of Thrace (DUTH), Xanthi, Greece

15. Department of Computer Science and Engineering, Malnad College of Engineering, Hassan, Karnataka, India

16. Department of Information Science and Engineering, JSS Science and Technology University (JSS STU), Mysuru, India

17. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute (ISI) Kolkata, Kolkata, India

18. Laboratory for Machine Intelligence, Faculty of Electrical Engineering, University of Ljubljana (UL), Ljubljana, Slovenia

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Reference75 articles.

1. Language models are few-shot learners;brown;Proc Adv Neural Inf Process Syst (NeurIPS),2020

2. How Does Gender Balance In Training Data Affect Face Recognition Accuracy?

3. Bias on the web

4. End-to-End Iris Segmentation Using U-Net

5. Scaling Vision Transformers

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