research
∙
02/06/2023
Uncertainty Calibration and its Application to Object Detection
Image-based environment perception is an important component especially ...
share
research
∙
07/04/2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Reliable spatial uncertainty evaluation of object detection models is of...
research
∙
02/25/2022
Confidence Calibration for Object Detection and Segmentation
Calibrated confidence estimates obtained from neural networks are crucia...
research
∙
09/21/2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Modern neural networks have found to be miscalibrated in terms of confid...
research
∙
01/08/2021
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Confidence calibration is a major concern when applying artificial neura...
research
∙
04/28/2020
