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
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | 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 |
| Art des Eintrags: | Bibliographie |
| Titel: | OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Verlag: | IEEE |
| Buchtitel: | 2022 IEEE International Joint Conference on Biometrics |
| Veranstaltungstitel: | International Joint Conference on Biometrics (IJCB) |
| Veranstaltungsort: | Abu Dhabi, UAE |
| Veranstaltungsdatum: | 10.-13.10.2022 |
| DOI: | 10.1109/IJCB54206.2022.10007963 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Biometrics, Machine learning, Deep learning, Face recognition, Research challenges |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 06 Mär 2023 09:38 |
| Letzte Änderung: | 06 Mär 2023 09:38 |
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