TY - GEN
T1 - OCFR 2022
T2 - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
AU - Neto, Pedro C.
AU - Boutros, Fadi
AU - Pinto, Joao Ribeiro
AU - Damer, Naser
AU - Sequeira, Ana F.
AU - Cardoso, Jaime S.
AU - Bengherabi, Messaoud
AU - Bousnat, Abderaouf
AU - Boucheta, Sana
AU - Hebbadj, Nesrine
AU - Erakin, Mustafa Ekrem
AU - Demir, Ugur
AU - Ekenel, Hazim Kemal
AU - De Queiroz Vidal, Pedro Beber
AU - Menotti, David
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated by the organizers. The competition was held to address the challenge of face recognition in the presence of severe face occlusions. The participants were free to use any training data and the testing data was built by the organisers by synthetically occluding parts of the face images using a well-known dataset. The submitted solutions presented innovations and performed very competitively with the considered baseline. A major output of this competition is a challenging, realistic, and diverse, and publicly available occluded face recognition benchmark with well defined evaluation protocols.
AB - This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated by the organizers. The competition was held to address the challenge of face recognition in the presence of severe face occlusions. The participants were free to use any training data and the testing data was built by the organisers by synthetically occluding parts of the face images using a well-known dataset. The submitted solutions presented innovations and performed very competitively with the considered baseline. A major output of this competition is a challenging, realistic, and diverse, and publicly available occluded face recognition benchmark with well defined evaluation protocols.
UR - http://www.scopus.com/inward/record.url?scp=85144822677&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85144822677&partnerID=8YFLogxK
U2 - 10.1109/IJCB54206.2022.10007963
DO - 10.1109/IJCB54206.2022.10007963
M3 - Conference contribution
AN - SCOPUS:85144822677
T3 - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
BT - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 October 2022 through 13 October 2022
ER -