mlsanityData to 7 Oct 2026

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

arXiv 2004.08388 ↗First posted 17 Apr 2020cs.CVcited by 36

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Abstract (arXiv)

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks. Existing multi-modal FAS methods rely on stacked vanilla convolutions, which is weak in describing detailed intrinsic information from modalities and easily being ineffective when the domain shifts (e.g., cross attack and cross ethnicity). In this paper, we extend the central difference convolutional networks (CDCN) citeyu2020searching to a multi-modal version, intending to capture intrinsic spoofing patterns among three modalities (RGB, depth and infrared). Meanwhile, we also give an elaborate study about single-modal based CDCN. Our approach won the first place in "Track Multi-Modal" as well as the second place in "Track Single-Modal (RGB)" of ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2020 citeliu2020cross. Our final submission obtains 1.02±0.59% and 4.84±1.79% ACER in "Track Multi-Modal" and "Track Single-Modal (RGB)", respectively. The codes are available athttps://github.com/ZitongYu/CDCN.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Apr 2020.

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Citing papers per year: 2021: 11; 2022: 8; 2023: 9; 2024: 3; 2025: 5.

36 papers.

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  1. 2021Deep Learning for Face Anti-Spoofing: A Surveycited by 64
  2. 2021Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofingcited by 49
  3. 2021Dual-Cross Central Difference Network for Face Anti-Spoofingcited by 47
  4. 2021Meta-Teacher For Face Anti-Spoofingcited by 33
  5. 2022Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofingcited by 28
  6. 2022Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cuescited by 24
  7. 2021Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofingcited by 23
  8. 2023FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofingcited by 22
  9. 2022Flexible-Modal Face Anti-Spoofing: A Benchmarkcited by 20
  10. 2023Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofingcited by 19
  11. 2022Digital and Physical Face Attacks: Reviewing and One Step Furthercited by 17
  12. 2021Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofingcited by 10
24 more
  1. 2022A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognitioncited by 9
  2. 2023Visual Prompt Flexible-Modal Face Anti-Spoofingcited by 9
  3. 2022A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detectioncited by 7
  4. 2021A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognitioncited by 6
  5. 2023Domain Generalization via Ensemble Stacking for Face Presentation Attack Detectioncited by 6
  6. 2023M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing Systemcited by 5
  7. 2021Asymmetric Modality Translation For Face Presentation Attack Detectioncited by 4
  8. 2025DADM: Dual Alignment of Domain and Modality for Face Anti-spoofingcited by 4
  9. 2021Review of Face Presentation Attack Detection Competitionscited by 3
  10. 2022Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofingcited by 3
  11. 2024Unified Physical-Digital Attack Detection Challengecited by 3
  12. 2023Wild Face Anti-Spoofing Challenge 2023: Benchmark and Resultscited by 2
  13. 2024Multi-modal Document Presentation Attack Detection With Forensics Trace Disentanglementcited by 2
  14. 2025Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Frameworkcited by 2
  15. 2021A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarioscited by 1
  16. 2023From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learningcited by 1
  17. 2023Hyperbolic Face Anti-Spoofingcited by 1
  18. 2025Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofingcited by 1
  19. 2021Improved Detection of Face Presentation Attacks Using Image Decompositioncited by 0
  20. 2022Face Presentation Attack Detectioncited by 0
  21. 2023Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flashcited by 0
  22. 2024A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems using Disparity Mapscited by 0
  23. 2025Multi-Modal Face Anti-Spoofing via Cross-Modal Feature Transitionscited by 0
  24. 2025Robust Multi-Modal Face Anti-Spoofing with Domain Adaptation: Tackling Missing Modalities, Noisy Pseudo-Labels, and Model Degradationcited by 0