MFR 2021: Masked Face Recognition Competition

Fadi Boutros; Naser Damer; Jan Niklas Kolf; Kiran Raja; Florian Kirchbuchner; Raghavendra Ramachandra; Arjan Kuijper; Pengcheng Fang; Chao Zhang; Fei Wang; David Montero; Naiara Aginako; Basilio Sierra; Marcos Nieto; Mustafa Ekrem Erakin; Ugur Demir; Hazim Kemal Ekenel; Asaki Kataoka; Kohei Ichikawa; Shizuma Kubo; Jie Zhang; Mingjie He; Dan Han; Shiguang Shan; Klemen Grm; Vitomir Struc; Sachith Seneviratne; Nuran Kasthuriarachchi; Sanka Rasnayaka; Pedro C. Neto; Ana F. Sequeira; Joao Ribeiro Pinto; Mohsen Saffari; Jaime S. Cardoso

doi:10.1109/IJCB52358.2021.9484337

MFR 2021: Masked Face Recognition Competition

Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma KuboJie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Struc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana F. Sequeira, Joao Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso

Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 (US)
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	https://doi.org/10.1109/IJCB52358.2021.9484337
State	Published - Aug 4 2021
Event	2021 IEEE International Joint Conference on Biometrics, IJCB 2021 - Shenzhen, China Duration: Aug 4 2021 → Aug 7 2021

Publication series

Name	2021 IEEE International Joint Conference on Biometrics, IJCB 2021

Conference

Conference	2021 IEEE International Joint Conference on Biometrics, IJCB 2021
Country/Territory	China
City	Shenzhen
Period	8/4/21 → 8/7/21

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Biomedical Engineering

Access to Document

10.1109/IJCB52358.2021.9484337

Cite this

Boutros, F., Damer, N., Kolf, J. N., Raja, K., Kirchbuchner, F., Ramachandra, R., Kuijper, A., Fang, P., Zhang, C., Wang, F., Montero, D., Aginako, N., Sierra, B., Nieto, M., Erakin, M. E., Demir, U., Ekenel, H. K., Kataoka, A., Ichikawa, K., ... Cardoso, J. S. (2021). MFR 2021: Masked Face Recognition Competition. In 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 Article 9484337 (2021 IEEE International Joint Conference on Biometrics, IJCB 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCB52358.2021.9484337

MFR 2021: Masked Face Recognition Competition. / Boutros, Fadi; Damer, Naser; Kolf, Jan Niklas et al.
2021 IEEE International Joint Conference on Biometrics, IJCB 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9484337 (2021 IEEE International Joint Conference on Biometrics, IJCB 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boutros, F, Damer, N, Kolf, JN, Raja, K, Kirchbuchner, F, Ramachandra, R, Kuijper, A, Fang, P, Zhang, C, Wang, F, Montero, D, Aginako, N, Sierra, B, Nieto, M, Erakin, ME, Demir, U, Ekenel, HK, Kataoka, A, Ichikawa, K, Kubo, S, Zhang, J, He, M, Han, D, Shan, S, Grm, K, Struc, V, Seneviratne, S, Kasthuriarachchi, N, Rasnayaka, S, Neto, PC, Sequeira, AF, Pinto, JR, Saffari, M & Cardoso, JS 2021, MFR 2021: Masked Face Recognition Competition. in 2021 IEEE International Joint Conference on Biometrics, IJCB 2021., 9484337, 2021 IEEE International Joint Conference on Biometrics, IJCB 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Joint Conference on Biometrics, IJCB 2021, Shenzhen, China, 8/4/21. https://doi.org/10.1109/IJCB52358.2021.9484337

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title = "MFR 2021: Masked Face Recognition Competition",

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.",

author = "Fadi Boutros and Naser Damer and Kolf, {Jan Niklas} 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 Erakin, {Mustafa Ekrem} and Ugur Demir and Ekenel, {Hazim Kemal} 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 Struc and Sachith Seneviratne and Nuran Kasthuriarachchi and Sanka Rasnayaka and Neto, {Pedro C.} and Sequeira, {Ana F.} and Pinto, {Joao Ribeiro} and Mohsen Saffari and Cardoso, {Jaime S.}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 ; Conference date: 04-08-2021 Through 07-08-2021",

year = "2021",

month = aug,

day = "4",

doi = "10.1109/IJCB52358.2021.9484337",

language = "English (US)",

series = "2021 IEEE International Joint Conference on Biometrics, IJCB 2021",

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T2 - 2021 IEEE International Joint Conference on Biometrics, IJCB 2021

AU - Boutros, Fadi

AU - Damer, Naser

AU - Kolf, Jan Niklas

AU - Raja, Kiran

AU - Kirchbuchner, Florian

AU - Ramachandra, Raghavendra

AU - Kuijper, Arjan

AU - Fang, Pengcheng

AU - Zhang, Chao

AU - Wang, Fei

AU - Montero, David

AU - Aginako, Naiara

AU - Sierra, Basilio

AU - Nieto, Marcos

AU - Erakin, Mustafa Ekrem

AU - Demir, Ugur

AU - Ekenel, Hazim Kemal

AU - Kataoka, Asaki

AU - Ichikawa, Kohei

AU - Kubo, Shizuma

AU - Zhang, Jie

AU - He, Mingjie

AU - Han, Dan

AU - Shan, Shiguang

AU - Grm, Klemen

AU - Struc, Vitomir

AU - Seneviratne, Sachith

AU - Kasthuriarachchi, Nuran

AU - Rasnayaka, Sanka

AU - Neto, Pedro C.

AU - Sequeira, Ana F.

AU - Pinto, Joao Ribeiro

AU - Saffari, Mohsen

AU - Cardoso, Jaime S.

PY - 2021/8/4

Y1 - 2021/8/4

N2 - 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.

AB - 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.

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 August 2021 through 7 August 2021

ER -

MFR 2021: Masked Face Recognition Competition

Abstract

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Conference

ASJC Scopus subject areas

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