mlsanityData to 7 Oct 2026

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

arXiv 2208.02760 ↗First posted 4 Aug 2022cs.CV cs.LGcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 30 of its 42 references that are in the map. First posted on arXiv 4 Aug 2022.

Builds on

30 of 42 references.

References · 30

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  3. 2016MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognitioncited by 621
  4. 2014Learning Face Representation from Scratchcited by 451
  5. 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 390
  6. 2018MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devicescited by 180
  7. 2021ElasticFace: Elastic Margin Loss for Deep Face Recognitioncited by 143
  8. 2019Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Networkcited by 51
  9. 2020Masked Face Recognition for Secure Authenticationcited by 47
  10. 2021Masked Face Recognition Challenge: The InsightFace Track Reportcited by 41
  11. 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognitioncited by 41
  12. 2020A survey of face recognition techniques under occlusioncited by 38
18 more
  1. 2021MixFaceNets: Extremely Efficient Face Recognition Networkscited by 36
  2. 2021PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillationcited by 36
  3. 2021Self-restrained Triplet Loss for Accurate Masked Face Recognitioncited by 32
  4. 2020The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Studycited by 26
  5. 2021End2End Occluded Face Recognition by Masking Corrupted Featurescited by 24
  6. 2021MFR 2021: Masked Face Recognition Competitioncited by 23
  7. 2021Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detectioncited by 20
  8. 2021On Recognizing Occluded Faces in the Wildcited by 15
  9. 2021FocusFace: Multi-task Contrastive Learning for Masked Face Recognitioncited by 12
  10. 2021Biometrics in the Era of COVID-19: Challenges and Opportunitiescited by 11
  11. 2021Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detectioncited by 10
  12. 2021Mask-invariant Face Recognition through Template-level Knowledge Distillationcited by 10
  13. 2021When Face Recognition Meets Occlusion: A New Benchmarkcited by 8
  14. 2021My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognitioncited by 7
  15. 2021The Effect of Wearing a Face Mask on Face Image Qualitycited by 7
  16. 2021Locality-aware Channel-wise Dropout for Occluded Face Recognitioncited by 5
  17. 2022A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19cited by 5
  18. 2021Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Imagescited by 2

Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 2; 2024: 3.

7 papers.

  1. 2024Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Datacited by 13
  2. 2022Causality-Inspired Taxonomy for Explainable Artificial Intelligencecited by 9
  3. 2023EFaR 2023: Efficient Face Recognition Competitioncited by 7
  4. 2024Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmarkcited by 6
  5. 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Eracited by 3
  6. 2024Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognitioncited by 3
  7. 2023Boosting Cross-Quality Face Verification using Blind Face Restorationcited by 1