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

Computer Vision and Pattern Recognition 2022-08-16 v2 Machine Learning

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.

Keywords

Cite

@article{arxiv.2208.02760,
  title  = {OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions},
  author = {Pedro C. Neto and Fadi Boutros and Joao Ribeiro Pinto and Naser Damer and Ana F. Sequeira and Jaime S. Cardoso and Messaoud Bengherabi and Abderaouf Bousnat and Sana Boucheta and Nesrine Hebbadj and Mustafa Ekrem Erakın and Uğur Demir and Hazım Kemal Ekenel and Pedro Beber de Queiroz Vidal and David Menotti},
  journal= {arXiv preprint arXiv:2208.02760},
  year   = {2022}
}

Comments

Accepted at International Joint Conference on Biometrics 2022

R2 v1 2026-06-25T01:29:12.448Z