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OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions

Neto, Pedro C. ; Boutros, Fadi ; Pinto, Joao Ribeiro ; Damer, Naser ; Sequeira, Ana F. ; Cardoso, Jaime S. ; Bengherabi, Messaoud ; Bousnat, Abderaouf ; Boucheta, Sana ; Hebbadj, Nesrine ; Erakin, Mustafa Ekrem ; Demir, Ugur ; Ekenel, Hazim Kemal ; De Queiroz Vidal, Pedro Beber ; Menotti, David (2022)
OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions.
International Joint Conference on Biometrics (IJCB). Abu Dhabi, UAE (10.-13.10.2022)
doi: 10.1109/IJCB54206.2022.10007963
Conference or Workshop Item, Bibliographie

Abstract

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.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Neto, Pedro C. ; Boutros, Fadi ; Pinto, Joao Ribeiro ; Damer, Naser ; Sequeira, Ana F. ; Cardoso, Jaime S. ; Bengherabi, Messaoud ; Bousnat, Abderaouf ; Boucheta, Sana ; Hebbadj, Nesrine ; Erakin, Mustafa Ekrem ; Demir, Ugur ; Ekenel, Hazim Kemal ; De Queiroz Vidal, Pedro Beber ; Menotti, David
Type of entry: Bibliographie
Title: OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions
Language: English
Date: 2022
Publisher: IEEE
Book Title: 2022 IEEE International Joint Conference on Biometrics
Event Title: International Joint Conference on Biometrics (IJCB)
Event Location: Abu Dhabi, UAE
Event Dates: 10.-13.10.2022
DOI: 10.1109/IJCB54206.2022.10007963
Abstract:

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.

Uncontrolled Keywords: Biometrics, Machine learning, Deep learning, Face recognition, Research challenges
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 Mar 2023 09:38
Last Modified: 06 Mar 2023 09:38
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