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My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition

dc.contributor.authorNeto, Pedro
dc.contributor.authorBoutros, Fadi
dc.contributor.authorPinto, João Ribeiro
dc.contributor.authorSaffari, Mohsen
dc.contributor.authorDamer, Naser
dc.contributor.authorSequeira, Ana F.
dc.contributor.authorCardoso, Jaime S.
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDamer, Naser
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira, Ana
dc.contributor.editorUhl, Andreas
dc.date.accessioned2021-10-04T08:43:49Z
dc.date.available2021-10-04T08:43:49Z
dc.date.issued2021
dc.description.abstractThe recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS). In this work, we address the challenge of masked face recognition (MFR) and focus on evaluating the verification performance in FRS when verifying masked vs unmasked faces compared to verifying only unmasked faces. We propose a methodology that combines the traditional triplet loss and the mean squared error (MSE) intending to improve the robustness of an MFR system in the masked-unmasked comparison mode. The results obtained by our proposed method show improvements in a detailed step-wise ablation study. The conducted study showed significant performance gains induced by our proposed training paradigm and modified triplet loss on two evaluation databases.en
dc.identifier.isbn978-3-88579-709-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37465
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-315
dc.subjectFace recognition
dc.subjectmasked face recognition
dc.subjectCovid-19
dc.subjecttriplet loss
dc.subjectvggface2
dc.titleMy Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognitionen
dc.typeText/Conference Paper
gi.citation.endPage30
gi.citation.publisherPlaceBonn
gi.citation.startPage21
gi.conference.date15.-17. September 2021
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

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