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U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation

U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation

19 July 2023
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
    SSeg
    UQCV
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Papers citing "U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation"

5 / 5 papers shown
Title
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
S. Landgraf
Rongjun Qin
Markus Ulrich
UQCV
70
0
0
14 Jan 2025
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Luís Almeida
Ines Dutra
Francesco Renna
UQCV
27
0
0
17 Jul 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
  Monocular Depth Estimation
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
13
8
0
16 Feb 2024
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
268
5,635
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
247
9,042
0
06 Jun 2015
1