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, multi-session, real masked, capture scenario is used to evaluate the submitted solutions. In comparison to one of the top-performing academic face recognition solutions, 10 out of the 18 submitted solutions did score higher masked face verification accuracy.
翻译:本文件概述了在2021年生物计量国际联合会议(2021年国际联合会议)期间举行的蒙面识别竞争(MFR),该竞争吸引了总共10个参加小组并提交了有效材料,这些小组的附属关系多种多样,与9个不同国家的学术界和工业界有联系,这些小组成功地提交了18项有效解决办法,旨在激励旨在提高蒙面识别准确度的解决方案;此外,竞争还考虑到面面识别模型的紧凑性,从而考虑拟议解决方案的可部署性;利用代表协作、多会期、真实遮面和捕捉情景的私人数据集来评估所提交的解决方案;与业绩最佳的学术面貌识别解决方案相比,18项解决方案中有10项获得了更高的蒙面验证准确性。