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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

13 July 2022
Matthias Rottmann
Marco Reese
    UQCV
ArXivPDFHTML

Papers citing "Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification"

3 / 3 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
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
A. Hengel
SSeg
245
1,489
0
30 Nov 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,821
0
18 Aug 2016
1