mlsanityData to 7 Oct 2026

Surveillance Face Anti-spoofing

arXiv 2301.00975 ↗First posted 3 Jan 2023cs.CVcited by 12

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Abstract (arXiv)

Face Anti-spoofing (FAS) is essential to secure face recognition systems from various physical attacks. However, recent research generally focuses on short-distance applications (i.e., phone unlocking) while lacking consideration of long-distance scenes (i.e., surveillance security checks). In order to promote relevant research and fill this gap in the community, we collect a large-scale Surveillance High-Fidelity Mask (SuHiFiMask) dataset captured under 40 surveillance scenes, which has 101 subjects from different age groups with 232 3D attacks (high-fidelity masks), 200 2D attacks (posters, portraits, and screens), and 2 adversarial attacks. In this scene, low image resolution and noise interference are new challenges faced in surveillance FAS. Together with the SuHiFiMask dataset, we propose a Contrastive Quality-Invariance Learning (CQIL) network to alleviate the performance degradation caused by image quality from three aspects: (1) An Image Quality Variable module (IQV) is introduced to recover image information associated with discrimination by combining the super-resolution network. (2) Using generated sample pairs to simulate quality variance distributions to help contrastive learning strategies obtain robust feature representation under quality variation. (3) A Separate Quality Network (SQN) is designed to learn discriminative features independent of image quality. Finally, a large number of experiments verify the quality of the SuHiFiMask dataset and the superiority of the proposed CQIL.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 45 of its 83 references that are in the map. First posted on arXiv 3 Jan 2023.

Builds on

45 of 83 references.

References · 45

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2019Momentum Contrast for Unsupervised Visual Representation Learningcited by 7,482
  4. 2020Bootstrap your own latent: A new approach to self-supervised Learningcited by 4,712
  5. 2014Unsupervised Domain Adaptation by Backpropagationcited by 1,906
  6. 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 390
  7. 2020Searching Central Difference Convolutional Networks for Face Anti-Spoofingcited by 173
  8. 2018Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervisioncited by 167
  9. 2019AdvHat: Real-world adversarial attack on ArcFace Face ID systemcited by 161
  10. 2020Single-Side Domain Generalization for Face Anti-Spoofingcited by 139
  11. 2020SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustnesscited by 111
  12. 2020CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotationscited by 109
33 more
  1. 2020NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofingcited by 104
  2. 2020Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learningcited by 93
  3. 2019Regularized Fine-grained Meta Face Anti-spoofingcited by 86
  4. 2014Learn Convolutional Neural Network for Face Anti-Spoofingcited by 80
  5. 2019Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Networkcited by 78
  6. 2019Deep Pixel-wise Binary Supervision for Face Presentation Attack Detectioncited by 76
  7. 2019Deep Tree Learning for Zero-shot Face Anti-Spoofingcited by 73
  8. 2022Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofingcited by 73
  9. 2020Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofingcited by 70
  10. 2020CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofingcited by 66
  11. 2020Face Anti-Spoofing Via Disentangled Representation Learningcited by 65
  12. 2018Low-Resolution Face Recognitioncited by 64
  13. 2020On Disentangling Spoof Trace for Generic Face Anti-Spoofingcited by 62
  14. 2019CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofingcited by 61
  15. 2018Face De-Spoofing: Anti-Spoofing via Noise Modelingcited by 60
  16. 2021Self-Domain Adaptation for Face Anti-Spoofingcited by 49
  17. 2021Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofingcited by 49
  18. 2021Dual Reweighting Domain Generalization for Face Presentation Attack Detectioncited by 47
  19. 2021Generalizable Representation Learning for Mixture Domain Face Anti-Spoofingcited by 46
  20. 2021Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detectioncited by 43
  21. 2022Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofingcited by 38
  22. 2018On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniquescited by 34
  23. 2021Meta-Teacher For Face Anti-Spoofingcited by 33
  24. 2020Deep Models and Shortwave Infrared Information to Detect Face Presentation Attackscited by 29
  25. 2022SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognitioncited by 21
  26. 20203D Face Anti-spoofing with Factorized Bilinear Codingcited by 20
  27. 2021Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Modelcited by 19
  28. 2018Surveillance Face Recognition Challengecited by 18
  29. 2018Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Resultscited by 16
  30. 2020Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofingcited by 14
  31. 2021Few-Shot Domain Expansion for Face Anti-Spoofingcited by 7
  32. 2022Impact of Face Image Quality Estimation on Presentation Attack Detectioncited by 2
  33. 2021A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarioscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 6; 2025: 1; 2026: 2.

12 papers.

  1. 2024CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofingcited by 39
  2. 2023FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofingcited by 22
  3. 2024Unified Physical-Digital Face Attack Detectioncited by 17
  4. 2024Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Cluescited by 8
  5. 2024La-SoftMoE CLIP for Unified Physical-Digital Face Attack Detectioncited by 8
  6. 2023Surveillance Face Presentation Attack Detection Challengecited by 5
  7. 2024Unified Physical-Digital Attack Detection Challengecited by 3
  8. 2024Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detectioncited by 2
  9. 2023Distributional Estimation of Data Uncertainty for Surveillance Face Anti-spoofingcited by 0
  10. 2025Unified Face Matching and Physical-Digital Spoofing Attack Detectioncited by 0
  11. 2026Face Presentation Attack Detection via Content-Adaptive Spatial Operatorscited by 0
  12. 2026Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioningcited by 0