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Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty

Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty

12 October 2021
R. Neven
D. Neven
Bert De Brabandere
Marc Proesmans
Toon Goedemé
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty"

13 / 13 papers shown
Title
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised
  Semantic Segmentation
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
Chaohao Xie
Dongwei Ren
Lei Wang
W. Zuo
87
3
0
09 Mar 2021
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for
  Weakly Supervised Semantic Segmentation
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
Chunfeng Song
Yan Huang
Wanli Ouyang
Liang Wang
99
217
0
26 Apr 2019
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
406
4,725
0
15 Mar 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
286
18,318
0
02 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,673
0
06 Apr 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSODVLMISeg
99
747
0
24 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,595
0
18 May 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLMSSeg
159
924
0
04 Apr 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
209
1,046
0
05 Mar 2015
Multiscale Combinatorial Grouping for Image Segmentation and Object
  Proposal Generation
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
Jordi Pont-Tuset
Pablo Arbeláez
Jonathan T. Barron
F. Marqués
Jitendra Malik
120
571
0
03 Mar 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
126
920
0
09 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.2K
150,501
0
22 Dec 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,462
0
20 Oct 2012
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