mlsanityData to 7 Oct 2026

Masked Face Recognition Challenge: The InsightFace Track Report

arXiv 2108.08191 ↗First posted 18 Aug 2021cs.CVcited by 41

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Abstract (arXiv)

During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to deep face recognition. In this workshop, we organize Masked Face Recognition (MFR) challenge and focus on bench-marking deep face recognition methods under the existence of facial masks. In the MFR challenge, there are two main tracks: the InsightFace track and the WebFace260M track. For the InsightFace track, we manually collect a large-scale masked face test set with 7K identities. In addition, we also collect a children test set including 14K identities and a multi-racial test set containing 242K identities. By using these three test sets, we build up an online model testing system, which can give a comprehensive evaluation of face recognition models. To avoid data privacy problems, no test image is released to the public. As the challenge is still under-going, we will keep on updating the top-ranked solutions as well as this report on the arxiv.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). Builds on 18 of its 39 references that are in the map. First posted on arXiv 18 Aug 2021.

Builds on

18 of 39 references.

References · 18

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
  3. 2018CosFace: Large Margin Cosine Loss for Deep Face Recognitioncited by 968
  4. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 733
  5. 2016MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognitioncited by 621
  6. 2020CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognitioncited by 320
  7. 2018Additive Margin Softmax for Face Verificationcited by 275
  8. 2021WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognitioncited by 221
  9. 2018Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Networkcited by 195
  10. 2020Partial FC: Training 10 Million Identities on a Single Machinecited by 163
  11. 2014Deep Learning Face Representation by Joint Identification-Verificationcited by 162
  12. 2019Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learningcited by 145
6 more
  1. 2020Investigating Bias and Fairness in Facial Expression Recognitioncited by 87
  2. 2021FaceX-Zoo: A PyTorch Toolbox for Face Recognitioncited by 49
  3. 2017Level Playing Field for Million Scale Face Recognitioncited by 43
  4. 2021Efficient Masked Face Recognition Method during the COVID-19 Pandemiccited by 15
  5. 2021Boosting Masked Face Recognition with Multi-Task ArcFacecited by 13
  6. 2021Masked Face Recognition Challenge: The WebFace260M Track Reportcited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 10; 2023: 11; 2024: 6; 2025: 4; 2026: 5.

41 papers.

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  1. 2022Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FCcited by 73
  2. 2021The Dawn of Quantum Natural Language Processingcited by 60
  3. 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognitioncited by 41
  4. 2024SDFR: Synthetic Data for Face Recognition Competitioncited by 28
  5. 2021Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometrycited by 27
  6. 2023TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Securitycited by 22
  7. 2023FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Datacited by 21
  8. 2022Part-based Face Recognition with Vision Transformerscited by 18
  9. 2024TopoFR: A Closer Look at Topology Alignment on Face Recognitioncited by 13
  10. 2024LAFS: Landmark-based Facial Self-supervised Learning for Face Recognitioncited by 12
  11. 2024Fairness and Bias Mitigation in Computer Vision: A Surveycited by 12
  12. 2025LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognitioncited by 12
29 more
  1. 2021MLFW: A Database for Face Recognition on Masked Facescited by 10
  2. 2021Mask-invariant Face Recognition through Template-level Knowledge Distillationcited by 10
  3. 2023UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognitioncited by 10
  4. 2022Periocular Biometrics and its Relevance to Partially Masked Faces: A Surveycited by 9
  5. 2022CoupleFace: Relation Matters for Face Recognition Distillationcited by 8
  6. 2025EditID: Training-Free Editable ID Customization for Text-to-Image Generationcited by 8
  7. 2022OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusionscited by 7
  8. 2023EFaR 2023: Efficient Face Recognition Competitioncited by 7
  9. 2024AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognitioncited by 7
  10. 2022Fun Selfie Filters in Face Recognition: Impact Assessment and Removalcited by 6
  11. 2023Invariant Feature Regularization for Fair Face Recognitioncited by 6
  12. 2022A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19cited by 5
  13. 2023Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Personscited by 4
  14. 2021A realistic approach to generate masked faces applied on two novel masked face recognition data setscited by 3
  15. 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Eracited by 3
  16. 2023AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editingcited by 3
  17. 2023X2-Softmax: Margin Adaptive Loss Function for Face Recognitioncited by 3
  18. 2024EPL: Empirical Prototype Learning for Deep Face Recognitioncited by 2
  19. 2022Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentationcited by 1
  20. 2023Towards Large-scale Masked Face Recognitioncited by 1
  21. 2026MuVAP: Multimodal Multiparty Voice Activity Projection for Turn-taking Prediction in the Wildcited by 1
  22. 2023Localization using Multi-Focal Spatial Attention for Masked Face Recognitioncited by 0
  23. 2023SASMU: boost the performance of generalized recognition model using synthetic face datasetcited by 0
  24. 2025MSConv: Multiplicative and Subtractive Convolution for Face Recognitioncited by 0
  25. 2025A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognitioncited by 0
  26. 2026MovieTeller: Tool-augmented Movie Synopsis with ID Consistent Progressive Abstractioncited by 0
  27. 2026Let Triggers Control: Frequency-Aware Dropout for Effective Token Controlcited by 0
  28. 2026OmniVL-Guard Pro: A Tool-Augmented Agent for Omnibus Vision-Language Forensicscited by 0
  29. 2026Personalized Face Privacy Protection From a Single Imagecited by 0