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2005.06831
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Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
14 May 2020
Philipp Oberdiek
Matthias Rottmann
G. Fink
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Papers citing
"Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation"
8 / 8 papers shown
Title
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
Edgar Heinert
Stephan Tilgner
Timo Palm
Matthias Rottmann
UQCV
32
0
0
17 Sep 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian
Huan-ang Gao
Leiyao Cui
Yupeng Zheng
Lan Luo
Baofeng Wang
Rong Zhi
Guyue Zhou
Hao Zhao
24
4
0
10 Jan 2024
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Christos Sakaridis
F. I. F. Richard Yu
ISeg
16
23
0
26 May 2023
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
Kira Maag
Robin Shing Moon Chan
Svenja Uhlemeyer
K. Kowol
Hanno Gottschalk
27
19
0
05 Oct 2022
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
11
48
0
03 Aug 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
OODD
17
149
0
09 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
1