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Found 3 papers, 1 papers with code
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
In particular, we leverage conformal prediction to obtain uncertainty intervals with guaranteed coverage for object bounding boxes.
A powerful rank-based correction to multiple testing under positive dependency
We develop a novel multiple hypothesis testing correction with family-wise error rate (FWER) control that efficiently exploits positive dependencies between potentially correlated statistical hypothesis tests.
Uncertainty Quantification for Image-based Traffic Prediction across Cities
We compare two epistemic and two aleatoric UQ methods on both temporal and spatio-temporal transfer tasks, and find that meaningful uncertainty estimates can be recovered.
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