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Face Mask Invariant End-to-End Face Recognition
2020This paper introduces an end-to-end face recognition network that is invariant to face images with face masks. Conventional face recognition networks have degraded performance on images with face masks due to inaccurate landmark prediction and alignment results. Thus, an end-to-end network is proposed to solve the problem.
I. Putu Agi Karasugi, Williem 0001
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Facial Expression Recognition with the advent of face masks
19th International Conference on Mobile and Ubiquitous Multimedia, 2020With the worldwide spread of COVID-19, wearing face masks while interaction in public is becoming a common behavior to protect against infection. Thus, how to improve effectiveness of existing facial expression recognition (FER) technology on masked faces has become an urgent issue.
Bo Yang, Jianming Wu, Gen Hattori
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A Benchmark on Masked Face Recognition
2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2022Pedro Vidal 0001 +4 more
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Explainable masked face recognition
Multimedia Tools and Applications, 2023Anjali T, V. Masilamani
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Towards Mask-robust Face Recognition
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021Tao Feng 0014 +5 more
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Mask Fitting on Face Images Based on Morphing and Masked Face Recognition
2022Covid-19 gibi virüslerin ciddi solunum yolu hastalıklarına neden olması, yüz maskelerinin kullanımını önemli hale getirmiştir. Bu nedenle yüzden kişi doğrulama ve tanıma yapan sistemlerin maskeli yüzler üzerinde de çalışabilmesi beklenmektedir. Yüz tanıma sistemleri için oluşturulan veri setlerinde maskeli yüzler olmamakla birlikte günümüzde farklı ...
GÜNAY YILMAZ, Asuman +2 more
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Masked Face Recognition Using MobileNetV2
2022 The 5th International Conference on Control and Computer Vision, 2022Ming Liu, Wei Qi Yan 0001
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Boosting Fairness for Masked Face Recognition
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021Jun Yu 0001 +4 more
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Mask Aware Network for Masked Face Recognition in the Wild
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021Kai Wang 0036 +6 more
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