Explaining an image classifier with a generative model conditioned by uncertainty

Documenti analoghi

• Leveraging generative models to characterize the failure conditions of image classifiers
  di: LeCoz, Adrien, et al.
  Pubblicazione: (2024)
• Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
  di: LeCoz, Adrien, et al.
  Pubblicazione: (2024)
• Confidence Calibration of Classifiers with Many Classes
  di: LeCoz, Adrien, et al.
  Pubblicazione: (2024)
• From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations
  di: Schirris, Yoni, et al.
  Pubblicazione: (2025)
• A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
  di: Fu, Yunguan, et al.
  Pubblicazione: (2025)