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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"

6 / 6 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
25
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
39
8
0
04 Jul 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and
  Rebalanced Accuracy-Uncertainty Loss
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
Yantao Gong
Cao Liu
Fan Yang
Xunliang Cai
Guanglu Wan
Jiansong Chen
Weipeng Zhang
Houfeng Wang
UQCV
29
2
0
17 Mar 2022
Confidence Calibration for Object Detection and Segmentation
Confidence Calibration for Object Detection and Segmentation
Fabian Küppers
Anselm Haselhoff
Jan Kronenberger
Jonas Schneider
UQCV
30
4
0
25 Feb 2022
A causal model of safety assurance for machine learning
A causal model of safety assurance for machine learning
Simon Burton
CML
37
5
0
14 Jan 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
30
4
0
06 Oct 2021
1