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Parametric and Multivariate Uncertainty Calibration for Regression and
  Object Detection

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection

4 July 2022
Fabian Küppers
Jonas Schneider
Anselm Haselhoff
    UQCV
ArXivPDFHTML

Papers citing "Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection"

5 / 5 papers shown
Title
Multi-fidelity Gaussian process surrogate modeling for regression
  problems in physics
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Kislaya Ravi
Vladyslav Fediukov
Felix Dietrich
T. Neckel
Fabian Buse
Michael Bergmann
H. Bungartz
AI4CE
29
6
0
18 Apr 2024
MoCaE: Mixture of Calibrated Experts Significantly Improves Object
  Detection
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
Kemal Oksuz
Selim Kuzucu
Tom Joy
P. Dokania
MoE
22
5
0
26 Sep 2023
A Theoretical and Practical Framework for Evaluating Uncertainty
  Calibration in Object Detection
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
13
1
0
01 Sep 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty
  Quantification and Calibration
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
17
16
0
03 Jul 2023
From Black-box to White-box: Examining Confidence Calibration under
  different Conditions
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Franziska Schwaiger
Maximilian Henne
Fabian Küppers
Felippe Schmoeller da Roza
Karsten Roscher
Anselm Haselhoff
18
10
0
08 Jan 2021
1