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Criteria for Uncertainty-based Corner Cases Detection in Instance
  Segmentation

Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation

17 April 2024
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
ArXivPDFHTML

Papers citing "Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation"

3 / 3 papers shown
Title
Description of Corner Cases in Automated Driving: Goals and Challenges
Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll
Jasmin Breitenstein
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
Tim Fingscheidt
J. Marius Zöllner
32
55
0
20 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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
261
9,134
0
06 Jun 2015
1