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MFR 2021: Masked Face Recognition Competition

机译:MFR 2021:蒙面的人脸识别竞争

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摘要

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.
机译:本文介绍了2021年国际生物识别学报(IJCB 2021)内举行的蒙面面部识别竞争(MFR)的摘要。 竞争吸引了10个具有有效提交的参与团队。 这些团队的隶属关系是多元化的,与九个不同国家的学术界和工业相关。 这些团队成功提交了18个有效的解决方案。 竞争旨在激励解决旨在提高蒙面脸部识别精度的解决方案。 此外,竞争通过考虑了面部识别模型的紧凑性来审视所提出的解决方案的可部署性。 私有数据集代表协作,多信,真实屏蔽捕获方案用于评估提交的解决方案。 与TEXPERING的学术面部识别解决方案之一相比,18个提交的解决方案中的10个中可以获得更高的屏蔽面部验证精度。

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