Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method

Documenti analoghi

• Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
  di: Liu, Chi, et al.
  Pubblicazione: (2025)
• Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
  di: Liu, Chi, et al.
  Pubblicazione: (2023)
• Causal Fingerprints of AI Generative Models
  di: Xu, Hui, et al.
  Pubblicazione: (2025)
• Learning to Look before Learning to Like: Incorporating Human Visual Cognition into Aesthetic Quality Assessment
  di: Yu, Liwen, et al.
  Pubblicazione: (2026)
• Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA
  di: Qin, Laiqiao, et al.
  Pubblicazione: (2024)