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A Review of Uncertainty Calibration in Pretrained Object Detectors

A Review of Uncertainty Calibration in Pretrained Object Detectors

6 October 2022
Denis Huseljic
M. Herde
Mehmet Muejde
Bernhard Sick
    UQCV
ArXivPDFHTML

Papers citing "A Review of Uncertainty Calibration in Pretrained Object Detectors"

4 / 4 papers shown
Title
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
178
306
0
02 Feb 2022
A Survey on Cost Types, Interaction Schemes, and Annotator Performance
  Models in Selection Algorithms for Active Learning in Classification
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde
Denis Huseljic
Bernhard Sick
A. Calma
44
25
0
23 Sep 2021
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
41
10
0
08 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
299
9,202
0
06 Jun 2015
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