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10/14/2022
Segmentation-guided Domain Adaptation for Efficient Depth Completion
Complete depth information and efficient estimators have become vital in...
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07/04/2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Reliable spatial uncertainty evaluation of object detection models is of...
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02/25/2022
Confidence Calibration for Object Detection and Segmentation
Calibrated confidence estimates obtained from neural networks are crucia...
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09/21/2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Modern neural networks have found to be miscalibrated in terms of confid...
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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...
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12/11/2020
Dependency Decomposition and a Reject Option for Explainable Models
Deploying machine learning models in safety-related do-mains (e.g. auton...
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04/28/2020