mlsanityData to 7 Oct 2026

The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database

arXiv 2009.09703 ↗First posted 21 Sep 2020cs.CVcited by 9

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Abstract (arXiv)

The High-Quality Wide Multi-Channel Attack database (HQ-WMCA) database extends the previous Wide Multi-Channel Attack database(WMCA), with more channels including color, depth, thermal, infrared (spectra), and short-wave infrared (spectra), and also a wide variety of attacks.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 0; 2025: 3; 2026: 1.

9 papers.

  1. 2021Cross Modal Focal Loss for RGBD Face Anti-Spoofingcited by 41
  2. 2023FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofingcited by 22
  3. 2022Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistlescited by 16
  4. 2023RGB-D And Thermal Sensor Fusion: A Systematic Literature Reviewcited by 12
  5. 2022A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detectioncited by 7
  6. 2025FantasyID: A dataset for detecting digital manipulations of ID-documentscited by 6
  7. 2025xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devicescited by 5
  8. 2025The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attackscited by 1
  9. 2026Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillationcited by 1