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Hierarchical Insights: Exploiting Structural Similarities for Reliable
  3D Semantic Segmentation

Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation

9 April 2024
M. Dreissig
Florian Piewak
Joschka Boedecker
ArXivPDFHTML

Papers citing "Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation"

5 / 5 papers shown
Title
(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
153
239
0
08 Feb 2021
Coherent Hierarchical Multi-Label Classification Networks
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
24
94
0
20 Oct 2020
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
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
210
2,034
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
247
9,042
0
06 Jun 2015
1