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On the calibration of underrepresented classes in LiDAR-based semantic
  segmentation

On the calibration of underrepresented classes in LiDAR-based semantic segmentation

13 October 2022
M. Dreissig
Florian Piewak
Joschka Boedecker
ArXivPDFHTML

Papers citing "On the calibration of underrepresented classes in LiDAR-based semantic segmentation"

4 / 4 papers shown
Title
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
(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
233
2,056
0
07 Jun 2016
1