Author

S. van Hoecke

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Open access Aug 2026

Inductive Conformal Prediction for Guaranteed Class-Label Coverage in Object Detection

Conformal prediction has emerged as a principled framework for uncertainty quantification in computer vision, offering rigorous finite-sample coverage guarantees. However, its application in object detection has remained largely confined to localization, as standard inference codebases typically yield only top-1 class...

M. A. Mohammed, Esla Timothy Anzaku, Jef Jonkers et al. · Journal of Imaging · 0 citations

Open access Aug 2026

Label space reduction for transductive zero-shot classification with large language models

This work proposes distilling the model into a probabilistic classifier, enabling lightweight deployment without repeated LLM calls, and demonstrates that LSR improves macro-F1 scores by an average of 7.0% compared to standard zero-shot classification baselines.

Nathan Vandemoortele, Bram Steenwinckel, F. Ongenae et al. · Discover Computing · 0 citations