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On the Calibration of Uncertainty Estimation in LiDAR-based Semantic
  Segmentation

On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation

4 August 2023
M. Dreissig
Florian Piewak
Joschka Boedecker
    UQCV
ArXivPDFHTML

Papers citing "On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation"

9 / 9 papers shown
Title
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
D. Wolf
Alexander Braun
Markus Ulrich
89
0
0
18 Dec 2024
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene
  Semantic Segmentation
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation
Hanieh Shojaei
Qianqian Zou
Max Mehltretter
UQCV
23
0
0
11 Oct 2024
Decoupling of neural network calibration measures
Decoupling of neural network calibration measures
D. Wolf
Prasannavenkatesh Balaji
Alexander Braun
Markus Ulrich
UQCV
44
3
0
04 Jun 2024
Hierarchical Insights: Exploiting Structural Similarities for Reliable
  3D Semantic Segmentation
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation
M. Dreissig
Florian Piewak
Joschka Boedecker
35
1
0
09 Apr 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
53
5
0
25 Mar 2024
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
158
241
0
08 Feb 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
276
5,661
0
05 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 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
285
9,138
0
06 Jun 2015
1