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False Positive Detection and Prediction Quality Estimation for LiDAR
  Point Cloud Segmentation

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
ArXivPDFHTML

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
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
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
Matthias Rottmann
Marco Reese
UQCV
14
22
0
13 Jul 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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