Abstract
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating teams with valid submissions. The affiliations of these teams are diverse and associated with academia and industry in nine different countries. These teams successfully submitted 18 valid solutions. The competition is designed to motivate solutions aiming at enhancing the face recognition accuracy of masked faces. Moreover, the competition considered the deployability of the proposed solutions by taking the compactness of the face recognition models into account. A private dataset representing a collaborative, multisession, real masked, capture scenario is used to evaluate the submitted solutions. In comparison to one of the topperforming academic face recognition solutions, 10 out of the 18 submitted solutions did score higher masked face verification accuracy.
Original language | English |
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Title of host publication | 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665437806 |
DOIs | |
Publication status | Published - 4 Aug 2021 |
Externally published | Yes |
Event | 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 - Shenzhen, China Duration: 4 Aug 2021 → 7 Aug 2021 |
Publication series
Name | 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 |
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Conference
Conference | 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 |
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Country/Territory | China |
City | Shenzhen |
Period | 4/08/21 → 7/08/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.