1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Controlling False Positives in Image Segmentation via Conformal Prediction
Luca Mossina, Corentin Friedrich
Reliable semantic segmentation is essential for clinical decision making, yet deep models rarely provide explicit statistical guarantees on their errors. We introduce a simple post…
cs.CV2025★ 1 cited
Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
Luca Mossina, Corentin Friedrich
Image segmentation is a challenging task influenced by multiple sources of uncertainty, such as the data labeling process or the sampling of training data. In this paper we focus o…
cs.CV2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
Luca Mossina, Joseba Dalmau, Léo andéol
We propose a post-hoc, computationally lightweight method to quantify predictive uncertainty in semantic image segmentation. Our approach uses conformal prediction to generate stat…