Aggregating Image Segmentation Predictions with Probabilistic Risk Control Guarantees

In this work, we introduce a framework to combine arbitrary image segmentation algorithms from different agents under data privacy constraints to produce an aggregated prediction set satisfying finite-sample risk control guarantees. We leverage distribution-free uncertainty quantification techniques...

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Bibliographic Details
Main Authors: Joaquin Alvarez, Edgar Roman-Rangel
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/11/1711
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