The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition

Documenti analoghi

• If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces
  di: Atzori, Andrea, et al.
  Pubblicazione: (2024)
• Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces
  di: Cuellar, Maria, et al.
  Pubblicazione: (2025)
• Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
  di: Melzi, Pietro, et al.
  Pubblicazione: (2024)
• Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
  di: Korshunov, Pavel, et al.
  Pubblicazione: (2025)
• Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition
  di: Neto, Pedro C., et al.
  Pubblicazione: (2024)