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 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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

63 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2021 IEEE International Joint Conference on Biometrics, IJCB 2021
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781665437806
DOI'lar	https://doi.org/10.1109/IJCB52358.2021.9484337
Yayın durumu	Yayınlandı - 4 Ağu 2021
Harici olarak yayınlandı	Evet
Etkinlik	2021 IEEE International Joint Conference on Biometrics, IJCB 2021 - Shenzhen, China Süre: 4 Ağu 2021 → 7 Ağu 2021

Yayın serisi

Adı	2021 IEEE International Joint Conference on Biometrics, IJCB 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2021 IEEE International Joint Conference on Biometrics, IJCB 2021
Ülke/Bölge	China
Şehir	Shenzhen
Periyot	4/08/21 → 7/08/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Finansman

Acknowledgments: This research work has been funded by the German Federal Ministry of Education and Research and the Hessen State Ministry for Higher Education, Research and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE.

Finansörler
National Research Center for Applied Cybersecurity ATHENE
Bundesministerium für Bildung und Forschung
Hessisches Ministerium für Wissenschaft und Kunst

Belgeye Erişim

10.1109/IJCB52358.2021.9484337

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 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

@inproceedings{0c04edb12572418f9302df7ad2e82943,

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",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

address = "United States",

}

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, 4/08/21. 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - MFR 2021

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.

UR - https://www.scopus.com/pages/publications/85113298442

U2 - 10.1109/IJCB52358.2021.9484337

DO - 10.1109/IJCB52358.2021.9484337

M3 - Conference contribution

AN - SCOPUS:85113298442

T3 - 2021 IEEE International Joint Conference on Biometrics, IJCB 2021

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 August 2021 through 7 August 2021

ER -

MFR 2021: Masked Face Recognition Competition

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap