2 papers
cs.CV2026
Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light
Valeria Pais, Malena Mendilaharzu, Daniele Faccio +3
Real-world deployment of AI vision models is both fueled and limited by the data available for training and testing. Real datasets are sparse and uneven: long-tailed or unbalanced…
cs.CV2026
Autoguided Online Data Curation for Diffusion Model Training
Valeria Pais, Luis Oala, Daniele Faccio +1
The costs of generative model compute rekindled promises and hopes for efficient data curation. In this work, we investigate whether recently developed autoguidance and online data…