MFR 2021: Masked Face Recognition Competition
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Abstract (arXiv)
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating teams with valid submissions. The affiliations of these teams are diverse and associated with academia and industry in nine different countries. These teams successfully submitted 18 valid solutions. The competition is designed to motivate solutions aiming at enhancing the face recognition accuracy of masked faces. Moreover, the competition considered the deployability of the proposed solutions by taking the compactness of the face recognition models into account. A private dataset representing a collaborative, multi-session, real masked, capture scenario is used to evaluate the submitted solutions. In comparison to one of the top-performing academic face recognition solutions, 10 out of the 18 submitted solutions did score higher masked face verification accuracy.
Key facts. Cited by 23 papers in the map (data through 14 Oct 2026). Builds on 18 of its 36 references that are in the map. First posted on arXiv 29 Jun 2021.
Builds on
18 of 36 references.
References · 18
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- 2019Momentum Contrast for Unsupervised Visual Representation Learningcited by 7,513
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- 2020Partial FC: Training 10 Million Identities on a Single Machinecited by 163
- 2020Masked Face Recognition Dataset and Applicationcited by 66
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- 2021Fast and Accurate Model Scalingcited by 46
6 more
- 2021Self-restrained Triplet Loss for Accurate Masked Face Recognitioncited by 32
- 2020The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Studycited by 26
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Citing papers per year: 2021: 10; 2022: 9; 2023: 2; 2024: 1; 2025: 1.
23 papers.
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- 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognitioncited by 42
- 2024SDFR: Synthetic Data for Face Recognition Competitioncited by 28
- 2022FaceQAN: Face Image Quality Assessment Through Adversarial Noise Explorationcited by 18
- 2023A Quality Aware Sample-to-Sample Comparison for Face Recognitioncited by 17
- 2021On Recognizing Occluded Faces in the Wildcited by 15
- 2021Masked Face Recognition Challenge: The WebFace260M Track Reportcited by 12
- 2021FocusFace: Multi-task Contrastive Learning for Masked Face Recognitioncited by 12
- 2021MLFW: A Database for Face Recognition on Masked Facescited by 10
- 2021Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detectioncited by 10
- 2021Mask-invariant Face Recognition through Template-level Knowledge Distillationcited by 10
- 2022Periocular Biometrics and its Relevance to Partially Masked Faces: A Surveycited by 10
- 2022Causality-Inspired Taxonomy for Explainable Artificial Intelligencecited by 9
11 more
- 2021My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognitioncited by 7
- 2021The Effect of Wearing a Face Mask on Face Image Qualitycited by 7
- 2022OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusionscited by 7
- 2023EFaR 2023: Efficient Face Recognition Competitioncited by 7
- 2025Review of Demographic Fairness in Face Recognitioncited by 7
- 2022Fun Selfie Filters in Face Recognition: Impact Assessment and Removalcited by 6
- 2022A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19cited by 5
- 2021Longitudinal Analysis of Mask and No-Mask on Child Face Recognitioncited by 4
- 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Eracited by 3
- 2021Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Imagescited by 2
- 2022Masked Faces with Faced Maskscited by 2
- 2025Review of Demographic Fairness in Face Recognition4 Feb 2025
- 2024SDFR: Synthetic Data for Face Recognition Competition6 Apr 2024
- 2023EFaR 2023: Efficient Face Recognition Competition8 Aug 2023
- 2023A Quality Aware Sample-to-Sample Comparison for Face Recognition6 Jun 2023
- 2022FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration5 Dec 2022
- 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Era7 Nov 2022
- 2022Causality-Inspired Taxonomy for Explainable Artificial Intelligence19 Aug 2022
- 2022OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions4 Aug 2022
- 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognition21 Apr 2022
- 2022Periocular Biometrics and its Relevance to Partially Masked Faces: A Survey29 Mar 2022
- 2022Fun Selfie Filters in Face Recognition: Impact Assessment and Removal12 Feb 2022
- 2022Masked Faces with Faced Masks17 Jan 2022
11 more
- 2022A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-1913 Jan 2022
- 2021Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images15 Dec 2021
- 2021Mask-invariant Face Recognition through Template-level Knowledge Distillation10 Dec 2021
- 2021Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection8 Nov 2021
- 2021Longitudinal Analysis of Mask and No-Mask on Child Face Recognition29 Oct 2021
- 2021FocusFace: Multi-task Contrastive Learning for Masked Face Recognition28 Oct 2021
- 2021The Effect of Wearing a Face Mask on Face Image Quality21 Oct 2021
- 2021MLFW: A Database for Face Recognition on Masked Faces13 Sep 2021
- 2021On Recognizing Occluded Faces in the Wild8 Sep 2021
- 2021Masked Face Recognition Challenge: The WebFace260M Track Report16 Aug 2021
- 2021My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition2 Aug 2021
- 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognitioncited by 42
- 2024SDFR: Synthetic Data for Face Recognition Competitioncited by 28
- 2022FaceQAN: Face Image Quality Assessment Through Adversarial Noise Explorationcited by 18
- 2023A Quality Aware Sample-to-Sample Comparison for Face Recognitioncited by 17
- 2021On Recognizing Occluded Faces in the Wildcited by 15
- 2021Masked Face Recognition Challenge: The WebFace260M Track Reportcited by 12
- 2021FocusFace: Multi-task Contrastive Learning for Masked Face Recognitioncited by 12
- 2021MLFW: A Database for Face Recognition on Masked Facescited by 10
- 2021Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detectioncited by 10
- 2022Periocular Biometrics and its Relevance to Partially Masked Faces: A Surveycited by 10
- 2022Causality-Inspired Taxonomy for Explainable Artificial Intelligencecited by 9
- 2021My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognitioncited by 7
12 most cited of 22 All 22 (JSON)
- 2025Review of Demographic Fairness in Face Recognition4 Feb 2025
- 2024SDFR: Synthetic Data for Face Recognition Competition6 Apr 2024
- 2023EFaR 2023: Efficient Face Recognition Competition8 Aug 2023
- 2023A Quality Aware Sample-to-Sample Comparison for Face Recognition6 Jun 2023
- 2022FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration5 Dec 2022
- 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Era7 Nov 2022
- 2022Causality-Inspired Taxonomy for Explainable Artificial Intelligence19 Aug 2022
- 2022OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions4 Aug 2022
- 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognition21 Apr 2022
- 2022Periocular Biometrics and its Relevance to Partially Masked Faces: A Survey29 Mar 2022
- 2022Fun Selfie Filters in Face Recognition: Impact Assessment and Removal12 Feb 2022
- 2022Masked Faces with Faced Masks17 Jan 2022
12 newest of 22 All 22 (JSON)