mlsanityData to 7 Oct 2026

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

arXiv 1607.08221 ↗First posted 27 Jul 2016cs.CVcited by 621

Not on the map. Why?

Abstract (arXiv)

In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base. More specifically, we propose a benchmark task to recognize one million celebrities from their face images, by using all the possibly collected face images of this individual on the web as training data. The rich information provided by the knowledge base helps to conduct disambiguation and improve the recognition accuracy, and contributes to various real-world applications, such as image captioning and news video analysis. Associated with this task, we design and provide concrete measurement set, evaluation protocol, as well as training data. We also present in details our experiment setup and report promising baseline results. Our benchmark task could lead to one of the largest classification problems in computer vision. To the best of our knowledge, our training dataset, which contains 10M images in version 1, is the largest publicly available one in the world.

Key facts. Cited by 621 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Jul 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 155; 2022: 133; 2023: 115; 2024: 115; 2025: 62; 2026: 41.

621 papers.

Sort:

By area:

  1. 2021Domain Generalization: A Surveycited by 760
  2. 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 390
  3. 2021MagFace: A Universal Representation for Face Recognition and Quality Assessmentcited by 332
  4. 2021WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognitioncited by 221
  5. 2021Trustworthy AI: From Principles to Practicescited by 206
  6. 2021General Facial Representation Learning in a Visual-Linguistic Mannercited by 193
  7. 2021Benchmarking Representation Learning for Natural World Image Collectionscited by 167
  8. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 156
  9. 2021ElasticFace: Elastic Margin Loss for Deep Face Recognitioncited by 143
  10. 2021SEED: Self-supervised Distillation For Visual Representationcited by 132
  11. 2023DCFace: Synthetic Face Generation with Dual Condition Diffusion Modelcited by 116
  12. 2021SynFace: Face Recognition with Synthetic Datacited by 106
38 more
  1. 2021Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Researchcited by 100
  2. 2022Protecting Celebrities from DeepFake with Identity Consistency Transformercited by 95
  3. 2021LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognitioncited by 92
  4. 2022DigiFace-1M: 1 Million Digital Face Images for Face Recognitioncited by 92
  5. 2021A Comprehensive Study on Face Recognition Biases Beyond Demographicscited by 86
  6. 2021TransFER: Learning Relation-aware Facial Expression Representations with Transformerscited by 85
  7. 2022A Survey on Long-Tailed Visual Recognitioncited by 75
  8. 2023IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Modelscited by 72
  9. 2022FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videoscited by 69
  10. 2021CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiabilitycited by 68
  11. 2022Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognitioncited by 67
  12. 2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
  13. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 66
  14. 2024DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curationcited by 64
  15. 2022SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Datacited by 63
  16. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  17. 2022MARLIN: Masked Autoencoder for facial video Representation LearnINgcited by 55
  18. 2022Meta Balanced Network for Fair Face Recognitioncited by 53
  19. 2022GradViT: Gradient Inversion of Vision Transformerscited by 52
  20. 2021Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognitioncited by 49
  21. 2021Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Paperscited by 49
  22. 2022POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognitioncited by 49
  23. 2022Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectorscited by 47
  24. 2021Face Transformer for Recognitioncited by 45
  25. 2021Data Poisoning Won't Save You From Facial Recognitioncited by 45
  26. 2022FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swappingcited by 44
  27. 2022Audio-Visual Person-of-Interest DeepFake Detectioncited by 43
  28. 2021Masked Face Recognition Challenge: The InsightFace Track Reportcited by 41
  29. 2021CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learningcited by 41
  30. 2022WebFace260M: A Benchmark for Million-Scale Deep Face Recognitioncited by 41
  31. 2022Transferable Unlearnable Examplescited by 41
  32. 2023DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Modelscited by 41
  33. 2021RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognitioncited by 40
  34. 2021Consistent Instance False Positive Improves Fairness in Face Recognitioncited by 40
  35. 2021Biometrics: Trust, but Verifycited by 39
  36. 2021PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognitioncited by 38
  37. 2023Synthetic Data for Face Recognition: Current State and Future Prospectscited by 38
  38. 2023SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimationcited by 38

50 most cited of 621 All 621 (JSON)