mlsanityData to 7 Oct 2026

Low-Resolution Face Recognition

arXiv 1811.08965 ↗First posted 21 Nov 2018cs.CVcited by 64

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Abstract (arXiv)

Whilst recent face-recognition (FR) techniques have made significant progress on recognising constrained high-resolution web images, the same cannot be said on natively unconstrained low-resolution images at large scales. In this work, we examine systematically this under-studied FR problem, and introduce a novel Complement Super-Resolution and Identity (CSRI) joint deep learning method with a unified end-to-end network architecture. We further construct a new large-scale dataset TinyFace of native unconstrained low-resolution face images from selected public datasets, because none benchmark of this nature exists in the literature. With extensive experiments we show there is a significant gap between the reported FR performances on popular benchmarks and the results on TinyFace, and the advantages of the proposed CSRI over a variety of state-of-the-art FR and super-resolution deep models on solving this largely ignored FR scenario. The TinyFace dataset is released publicly at: https://qmul-tinyface.github.io/.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Nov 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 3; 2023: 14; 2024: 17; 2025: 13; 2026: 12.

64 papers.

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  1. 2021Domain Generalization: A Surveycited by 760
  2. 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 390
  3. 2023DCFace: Synthetic Face Generation with Dual Condition Diffusion Modelcited by 116
  4. 2024KeyPoint Relative Position Encoding for Face Recognitioncited by 37
  5. 2021Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environmentscited by 33
  6. 2024How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainabilitycited by 33
  7. 20213D Human Pose, Shape and Texture from Low-Resolution Images and Videoscited by 26
  8. 2022Controllable and Guided Face Synthesis for Unconstrained Face Recognitioncited by 22
  9. 2022Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognitioncited by 22
  10. 2023TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Securitycited by 22
  11. 2023Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimationcited by 16
  12. 2023Considerations on the Evaluation of Biometric Quality Assessment Algorithmscited by 14
38 more
  1. 2025SapiensID: Foundation for Human Recognitioncited by 14
  2. 202550 Years of Automated Face Recognitioncited by 13
  3. 2023Surveillance Face Anti-spoofingcited by 12
  4. 2021Deep Rival Penalized Competitive Learning for Low-resolution Face Recognitioncited by 10
  5. 2024Computer Vision for Primate Behavior Analysis in the Wildcited by 10
  6. 2024A Comprehensive Review of Knowledge Distillation in Computer Visioncited by 10
  7. 2024Text-guided Explorable Image Super-resolutioncited by 9
  8. 2025Beyond Real Faces: Synthetic Datasets Can Achieve Reliable Recognition Performance without Privacy Compromisecited by 8
  9. 2023EFaR 2023: Efficient Face Recognition Competitioncited by 7
  10. 2024PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognitioncited by 7
  11. 2024Efficient Low-Resolution Face Recognition via Bridge Distillationcited by 5
  12. 2024ARoFace: Alignment Robustness to Improve Low-Quality Face Recognitioncited by 4
  13. 2024CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognitioncited by 3
  14. 2024Goldilocks Test Sets for Face Verificationcited by 3
  15. 2024Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillationcited by 3
  16. 2024Impact of Sunglasses on One-to-Many Facial Identification Accuracycited by 3
  17. 2025LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Modelscited by 3
  18. 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognitioncited by 3
  19. 2026FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognitioncited by 3
  20. 2023Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baselinecited by 2
  21. 2023Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillationcited by 2
  22. 2023Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillationcited by 2
  23. 2024Double Trouble? Impact and Detection of Duplicates in Face Image Datasetscited by 2
  24. 2025QCFace: Image Quality Control for boosting Face Representation & Recognitioncited by 2
  25. 2021Susceptibility to Image Resolution in Face Recognition and Trainings Strategiescited by 1
  26. 2023CCFace: Classification Consistency for Low-Resolution Face Recognitioncited by 1
  27. 2023QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognitioncited by 1
  28. 2024Boosting Unconstrained Face Recognition with Targeted Style Adversarycited by 1
  29. 2024CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognitioncited by 1
  30. 2024Local and Global Feature Attention Fusion Network for Face Recognitioncited by 1
  31. 2025DArFace: Deformation Aware Robustness for Low Quality Face Recognitioncited by 1
  32. 2025LH2Face: Loss function for Hard High-quality Facecited by 1
  33. 2025Vec2Face+ for Face Dataset Generationcited by 1
  34. 2026Degradation-based augmented training for robust individual animal re-identificationcited by 1
  35. 2026Robust Onion: Peeling Open Vocab Object Detectors Under Noisecited by 1
  36. 2023DaliID: Distortion-Adaptive Learned Invariance for Identification Modelscited by 0
  37. 2023Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weightingcited by 0
  38. 2023Learning Unified Representations for Multi-Resolution Face Recognitioncited by 0

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