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False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation
29 October 2021
Pascal Colling
Matthias Rottmann
L. Roese-Koerner
Hanno Gottschalk
3DPC
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Papers citing
"False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation"
4 / 4 papers shown
Title
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
Edgar Heinert
Stephan Tilgner
Timo Palm
Matthias Rottmann
UQCV
29
0
0
17 Sep 2024
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
Matthias Rottmann
Marco Reese
UQCV
17
22
0
13 Jul 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1