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

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2022

Autores

Neto, PC (Autor) Outra; Boutros, F (Autor) Outra; Pinto, JR (Autor) Outra; Damer, N (Autor) Outra; Sequeira, AF (Autor) Outra; Jaime S Cardoso (Autor) FEUP; Bengherabi, M (Autor) Outra; Bousnat, A (Autor) Outra; Boucheta, S (Autor) Outra; Hebbadj, N (Autor) Outra; Erakin, ME (Autor) Outra; Demir, U (Autor) Outra; Ekenel, HK (Autor) Outra; Vidal, PBD (Autor) Outra; Menotti, D (Autor) Outra

Ata de Conferência Internacional

Título: 2022 IEEE INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB)

Páginas: 1-9

IEEE International Joint Conference on Biometrics (IJCB)

Abu Dhabi, U ARAB EMIRATES, OCT 10-13, 2022

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00X-R7R

DOI: 10.1109/ijcb54206.2022.10007963

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9