TY - GEN
T1 - Tackling Face Verification Edge Cases
T2 - 18th International Conference on Machine Vision and Applications, MVA 2023
AU - Knoche, Martin
AU - Rigoll, Gerhard
N1 - Publisher Copyright:
© 2023 IEICE.
PY - 2023
Y1 - 2023
N2 - Nowadays, face recognition systems surpass human performance on several datasets. However, there are still edge cases that the machine can't correctly classify. This paper investigates the effect of a combination of machine and human operators in the face verification task. First, we look closer at the edge cases for several state-of-The-Art models to discover common datasets' challenging settings. Then, we conduct a study with 60 participants on these selected tasks with humans and provide an extensive analysis. Finally, we demonstrate that combining machine and human decisions can further improve the performance of state-of-The-Art face verification systems on various benchmark datasets. Code and data are publicly available on GitHub 1.
AB - Nowadays, face recognition systems surpass human performance on several datasets. However, there are still edge cases that the machine can't correctly classify. This paper investigates the effect of a combination of machine and human operators in the face verification task. First, we look closer at the edge cases for several state-of-The-Art models to discover common datasets' challenging settings. Then, we conduct a study with 60 participants on these selected tasks with humans and provide an extensive analysis. Finally, we demonstrate that combining machine and human decisions can further improve the performance of state-of-The-Art face verification systems on various benchmark datasets. Code and data are publicly available on GitHub 1.
UR - http://www.scopus.com/inward/record.url?scp=85170524018&partnerID=8YFLogxK
U2 - 10.23919/MVA57639.2023.10216168
DO - 10.23919/MVA57639.2023.10216168
M3 - Conference contribution
AN - SCOPUS:85170524018
T3 - Proceedings of MVA 2023 - 18th International Conference on Machine Vision and Applications
BT - Proceedings of MVA 2023 - 18th International Conference on Machine Vision and Applications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 July 2023 through 25 July 2023
ER -