MFR 2021：遮挡人脸识别竞赛
计算机视觉与模式识别
2021-06-30 v1
摘要
本文介绍了在 2021 年国际生物识别联合会议（IJCB 2021）期间举办的遮挡人脸识别竞赛（MFR）的总结。该竞赛共吸引了 10 支提交有效方案的参赛队伍。这些队伍的隶属关系多样，涉及九个不同国家的学术界与工业界。这些队伍成功提交了 18 个有效解决方案。竞赛旨在激励提升遮挡人脸人脸识别准确率的解决方案。此外，竞赛通过考虑人脸识别模型的紧凑性来评估所提方案的可部署性。一个代表协作式、多会话、真实遮挡采集场景的私有数据集被用于评估提交的方案。与表现最佳的学术人脸识别方案之一相比，18 个提交方案中有 10 个取得了更高的遮挡人脸验证准确率。
引用
@article{arxiv.2106.15288,
title = {MFR 2021: Masked Face Recognition Competition},
author = {Fadi Boutros and Naser Damer and Jan Niklas Kolf and Kiran Raja and Florian Kirchbuchner and Raghavendra Ramachandra and Arjan Kuijper and Pengcheng Fang and Chao Zhang and Fei Wang and David Montero and Naiara Aginako and Basilio Sierra and Marcos Nieto and Mustafa Ekrem Erakin and Ugur Demir and Hazim Kemal and Ekenel and Asaki Kataoka and Kohei Ichikawa and Shizuma Kubo and Jie Zhang and Mingjie He and Dan Han and Shiguang Shan and Klemen Grm and Vitomir Štruc and Sachith Seneviratne and Nuran Kasthuriarachchi and Sanka Rasnayaka and Pedro C. Neto and Ana F. Sequeira and Joao Ribeiro Pinto and Mohsen Saffari and Jaime S. Cardoso},
journal= {arXiv preprint arXiv:2106.15288},
year = {2021}
}
备注
Accepted at International Join Conference on Biometrics (IJCB 2021)