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Eric Marcus

2 accepted papers

2024

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

CVPR 2024poster

Image segmentation algorithms can be understood as a collection of pixel classifiers for which the outcomes of nearby pixels are correlated. Classifier models can be calibrated using Inductive Conformal Prediction but this requires holding back a sufficiently large calibration dataset for computing…

2024

Task-Driven Wavelets using Constrained Empirical Risk Minimization

CVPR 2024poster

Deep Neural Networks (DNNs) are widely used for their ability to effectively approximate large classes of functions. This flexibility however makes the strict enforcement of constraints on DNNs a difficult problem. In contexts where it is critical to limit the function space to which certain network…

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