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From Black-box to White-box: Examining Confidence Calibration under
  different Conditions

From Black-box to White-box: Examining Confidence Calibration under different Conditions

8 January 2021
Franziska Schwaiger
Maximilian Henne
Fabian Küppers
Felippe Schmoeller da Roza
Karsten Roscher
Anselm Haselhoff
ArXivPDFHTML

Papers citing "From Black-box to White-box: Examining Confidence Calibration under different Conditions"

4 / 4 papers shown
Title
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates
  and Implicit Duplication Modeling with IoU-Aware Calibration
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
Johannes Gilg
Torben Teepe
Fabian Herzog
Philipp Wolters
Gerhard Rigoll
13
1
0
06 Sep 2023
Parametric and Multivariate Uncertainty Calibration for Regression and
  Object Detection
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers
Jonas Schneider
Anselm Haselhoff
UQCV
34
8
0
04 Jul 2022
Confidence Calibration for Object Detection and Segmentation
Confidence Calibration for Object Detection and Segmentation
Fabian Küppers
Anselm Haselhoff
Jan Kronenberger
Jonas Schneider
UQCV
19
4
0
25 Feb 2022
Post-hoc Models for Performance Estimation of Machine Learning Inference
Post-hoc Models for Performance Estimation of Machine Learning Inference
Xuechen Zhang
Samet Oymak
Jiasi Chen
UQCV
13
4
0
06 Oct 2021
1