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Found 2 papers, 2 papers with code
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
For this reason, this work presents a novel theoretical and practical framework to evaluate object detection systems in the context of uncertainty calibration.
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
With the rise of Deep Neural Networks, machine learning systems are nowadays ubiquitous in a number of real-world applications, which bears the need for highly reliable models.
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