HIGHLIGHTS
- who: Dan Levi and collaborators from the Faculty of Computer Science, Technion, Haifa, Israel have published the research: Evaluating and Calibrating Uncertainty Prediction in Regression Tasks, in the Journal: Sensors 2022, 22, 5540. of /2022/
- what: The authors show that the existing definition for the calibration of uncertainty has severe limitations in distinguishing informative from non-informative uncertainty predictions. The authors propose a new definition that escapes this caveat and an evaluation method using a simple histogram-based approach. The authors show results on both a synthetic controlled problem and on the object detection bounding . . .
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