mlsanityData to 7 Oct 2026

AdaFace: Quality Adaptive Margin for Face Recognition

arXiv 2204.00964 ↗First posted 3 Apr 2022cs.CVcited by 390

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Cited by 41 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discriminability of faces in the embedding space. Further, previous studies have studied the effect of adaptive losses to assign more importance to misclassified (hard) examples. In this work, we introduce another aspect of adaptiveness in the loss function, namely the image quality. We argue that the strategy to emphasize misclassified samples should be adjusted according to their image quality. Specifically, the relative importance of easy or hard samples should be based on the sample's image quality. We propose a new loss function that emphasizes samples of different difficulties based on their image quality. Our method achieves this in the form of an adaptive margin function by approximating the image quality with feature norms. Extensive experiments show that our method, AdaFace, improves the face recognition performance over the state-of-the-art (SoTA) on four datasets (IJB-B, IJB-C, IJB-S and TinyFace). Code and models are released in https://github.com/mk-minchul/AdaFace.

Key facts. Cited by 390 papers in the map (data through 7 Oct 2026). Builds on 27 of its 50 references that are in the map. First posted on arXiv 3 Apr 2022.

Builds on

27 of 50 references.

References · 27

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Deep Learning Face Attributes in the Wildcited by 3,679
  3. 2018CosFace: Large Margin Cosine Loss for Deep Face Recognitioncited by 968
  4. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  5. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 733
  6. 2016MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognitioncited by 621
  7. 2016Training Region-based Object Detectors with Online Hard Example Miningcited by 577
  8. 2018Bag of Tricks for Image Classification with Convolutional Neural Networkscited by 430
  9. 2021MagFace: A Universal Representation for Face Recognition and Quality Assessmentcited by 332
  10. 2020CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognitioncited by 320
  11. 2017Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environmentscited by 258
  12. 2017NormFace: L2 Hypersphere Embedding for Face Verificationcited by 237
15 more
  1. 2021WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognitioncited by 221
  2. 2018Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Networkcited by 195
  3. 2019Probabilistic Face Embeddingscited by 171
  4. 2020Data Uncertainty Learning in Face Recognitioncited by 134
  5. 2020SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustnesscited by 111
  6. 2019AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representationscited by 83
  7. 2020Towards Universal Representation Learning for Deep Face Recognitioncited by 78
  8. 2018Low-Resolution Face Recognitioncited by 64
  9. 2019Mis-classified Vector Guided Softmax Loss for Face Recognitioncited by 60
  10. 2020BroadFace: Looking at Tens of Thousands of People at Once for Face Recognitioncited by 30
  11. 2019FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalizationcited by 20
  12. 2019P2SGrad: Refined Gradients for Optimizing Deep Face Modelscited by 14
  13. 2019Attentional Feature-Pair Relation Networks for Accurate Face Recognitioncited by 9
  14. 2018An Automatic System for Unconstrained Video-Based Face Recognitioncited by 6
  15. 2019Uncertainty Modeling of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognitioncited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 16; 2023: 87; 2024: 107; 2025: 87; 2026: 93.

390 papers.

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  1. 2022Towards Large-Scale Small Object Detection: Survey and Benchmarkscited by 119
  2. 2023DCFace: Synthetic Face Generation with Dual Condition Diffusion Modelcited by 116
  3. 2023MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusioncited by 115
  4. 2024Arc2Face: A Foundation Model for ID-Consistent Human Facescited by 101
  5. 2023PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360circcited by 93
  6. 2022DigiFace-1M: 1 Million Digital Face Images for Face Recognitioncited by 92
  7. 2023IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Modelscited by 72
  8. 2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
  9. 2025Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Modelcited by 59
  10. 2023Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approachcited by 43
  11. 2024KeyPoint Relative Position Encoding for Face Recognitioncited by 37
  12. 2023OmniAvatar: Geometry-Guided Controllable 3D Head Synthesiscited by 34
38 more
  1. 2024FaceXFormer: A Unified Transformer for Facial Analysiscited by 34
  2. 2023EdgeFace: Efficient Face Recognition Model for Edge Devicescited by 33
  3. 2024How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainabilitycited by 33
  4. 2022Block Selection Method for Using Feature Norm in Out-of-distribution Detectioncited by 30
  5. 2023Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representationscited by 28
  6. 2024SDFR: Synthetic Data for Face Recognition Competitioncited by 28
  7. 2023FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitudecited by 27
  8. 2022Controllable and Guided Face Synthesis for Unconstrained Face Recognitioncited by 22
  9. 2022Cluster and Aggregate: Face Recognition with Large Probe Setcited by 22
  10. 2023Controllable Inversion of Black-Box Face Recognition Models via Diffusioncited by 22
  11. 2023DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Modelscited by 22
  12. 2023ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generationcited by 22
  13. 2023TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Securitycited by 22
  14. 2024Spatio-Temporal Turbulence Mitigation: A Translational Perspectivecited by 22
  15. 2024FRoundation: Are Foundation Models Ready for Face Recognition?cited by 22
  16. 2023FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Datacited by 21
  17. 2024G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priorscited by 20
  18. 2024Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editingcited by 19
  19. 2025X-Dyna: Expressive Dynamic Human Image Animationcited by 18
  20. 2024Face2Diffusion for Fast and Editable Face Personalizationcited by 17
  21. 2023Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimationcited by 16
  22. 2024QAGait: Revisit Gait Recognition from a Quality Perspectivecited by 16
  23. 2024PetFace: A Large-Scale Dataset and Benchmark for Animal Identificationcited by 16
  24. 2025WithAnyone: Towards Controllable and ID Consistent Image Generationcited by 16
  25. 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gapcited by 14
  26. 2024LLM-AD: Large Language Model based Audio Description Systemcited by 14
  27. 2024EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Promptscited by 14
  28. 202415M Multimodal Facial Image-Text Datasetcited by 14
  29. 2025SapiensID: Foundation for Human Recognitioncited by 14
  30. 2023ShARc: Shape and Appearance Recognition for Person Identification In-the-wildcited by 13
  31. 2024TopoFR: A Closer Look at Topology Alignment on Face Recognitioncited by 13
  32. 2024Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Datacited by 13
  33. 2025Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gaitcited by 13
  34. 2025Benchmarking Foundation Models for Zero-Shot Biometric Taskscited by 13
  35. 202550 Years of Automated Face Recognitioncited by 13
  36. 2026The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Resultscited by 13
  37. 2023Surveillance Face Anti-spoofingcited by 12
  38. 2023Efficient Explainable Face Verification based on Similarity Score Argument Backpropagationcited by 12

50 most cited of 390 All 390 (JSON)