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On Advantages of Mask-level Recognition for Outlier-aware Segmentation

On Advantages of Mask-level Recognition for Outlier-aware Segmentation

9 January 2023
Matej Grcić
Josip vSarić
Sinivsa vSegvić
    UQCV
ArXivPDFHTML

Papers citing "On Advantages of Mask-level Recognition for Outlier-aware Segmentation"

7 / 7 papers shown
Title
Panoramic Out-of-Distribution Segmentation
Panoramic Out-of-Distribution Segmentation
Mengfei Duan
Kailun Yang
Y. Zhang
Yihong Cao
Fei Teng
Kai Luo
Jiaming Zhang
Zhiyong Li
Shutao Li
50
0
0
06 May 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
78
2
0
04 Mar 2025
PixOOD: Pixel-Level Out-of-Distribution Detection
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
30
9
0
30 May 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
  Driving
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
26
5
0
13 May 2024
Uncertainty estimates for semantic segmentation: providing enhanced
  reliability for automated motor claims handling
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Jan Küchler
Daniel Kröll
S. Schoenen
Andreas Witte
UQCV
26
1
0
17 Jan 2024
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
158
401
0
12 Oct 2021
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
246
1,817
0
18 Aug 2016
1