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Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
v1v2 (latest)

Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art

4 March 2025
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art"

50 / 57 papers shown
Title
Panoramic Out-of-Distribution Segmentation
Panoramic Out-of-Distribution Segmentation
Mengfei Duan
Kailun Yang
Yanmei Zhang
Yihong Cao
Fei Teng
Kai Luo
Jiaming Zhang
Zhiyong Li
Shutao Li
110
0
0
06 May 2025
Adaptive Neural Networks for Intelligent Data-Driven Development
Adaptive Neural Networks for Intelligent Data-Driven Development
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
246
2
0
14 Feb 2025
FOCUS: Towards Universal Foreground Segmentation
FOCUS: Towards Universal Foreground Segmentation
Zuyao You
Lingyu Kong
Lingchen Meng
Zuxuan Wu
VOS
70
4
0
09 Jan 2025
Multi-Scale Foreground-Background Confidence for Out-of-Distribution
  Segmentation
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
Samuel Marschall
Kira Maag
144
1
0
22 Dec 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
82
4
0
10 Sep 2024
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Silvio Galesso
Philipp Schroppel
Hssan Driss
Thomas Brox
81
2
0
22 Jul 2024
PixOOD: Pixel-Level Out-of-Distribution Detection
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
92
9
0
30 May 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for
  Specialized Tasks
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
Bálint Mucsányi
Michael Kirchhof
Seong Joon Oh
UQCVBDLOODD
582
32
1
29 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić
Matej Grcić
Sinisa Segvic
UQCV
118
15
0
23 Feb 2024
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation
  Including the Unseen
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
Hao Zhang
Fang Li
Lu Qi
Ming-Hsuan Yang
Narendra Ahuja
108
11
0
09 Dec 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution
  Detection in Segmentation
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao
Shipeng Yan
Xuming He
OODOODD
93
12
0
12 Sep 2023
Have We Ever Encountered This Before? Retrieving Out-of-Distribution
  Road Obstacles from Driving Scenes
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes
Youssef Shoeb
Robin Shing Moon Chan
Gesina Schwalbe
Azarm Nowzard
Fatma Guney
Hanno Gottschalk
64
6
0
08 Sep 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation
UGainS: Uncertainty Guided Anomaly Instance Segmentation
Alexey Nekrasov
Alexander Hermans
L. Kuhnert
Bastian Leibe
103
11
0
03 Aug 2023
Unmasking Anomalies in Road-Scene Segmentation
Unmasking Anomalies in Road-Scene Segmentation
Shyam Nandan Rai
Fabio Cermelli
Dario Fontanel
Carlo Masone
Barbara Caputo
ISeg
77
41
0
25 Jul 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Daniel Gehrig
Feng Yu
ISeg
124
25
0
26 May 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
533
3,535
0
14 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLMVLM
477
7,476
0
05 Apr 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODDUQCV
79
8
0
23 Mar 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks
  applied to Out-of-Distribution Segmentation
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
Kira Maag
Tobias Riedlinger
UQCV
78
7
0
13 Mar 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A
  Survey
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
88
19
0
06 Feb 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation
On Advantages of Mask-level Recognition for Outlier-aware Segmentation
Matej Grcić
Josip vSarić
Sinivsa vSegvić
UQCV
166
34
0
09 Jan 2023
RbA: Segmenting Unknown Regions Rejected by All
RbA: Segmenting Unknown Regions Rejected by All
Nazir Nayal
Mısra Yavuz
João F. Henriques
Fatma Guney
UQCV
92
47
0
25 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based
  Out-of-Distribution Detection
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
Silvio Galesso
Max Argus
Thomas Brox
UQCV
96
11
0
12 Nov 2022
Falsehoods that ML researchers believe about OOD detection
Falsehoods that ML researchers believe about OOD detection
Andi Zhang
Damon J. Wischik
OODD
70
6
0
23 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
106
122
0
05 Oct 2022
Supervision Adaptation Balancing In-distribution Generalization and
  Out-of-distribution Detection
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
77
6
0
19 Jun 2022
Knowledge Augmented Machine Learning with Applications in Autonomous
  Driving: A Survey
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wormann
Daniel Bogdoll
Tobias Gleißner
Etienne Buhrle
Hang Chen
...
Y. Wang
Florian Wasserrab
Tino Werner
Christian Wirth
Stefan Zwicklbauer
65
18
0
10 May 2022
Towards Unsupervised Open World Semantic Segmentation
Towards Unsupervised Open World Semantic Segmentation
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
133
18
0
04 Jan 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
329
2,402
0
02 Dec 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on
  Complex Urban Driving Scenes
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Yu Tian
Yuyuan Liu
Guansong Pang
Fengbei Liu
Yuanhong Chen
G. Carneiro
165
88
0
24 Nov 2021
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
262
438
0
12 Oct 2021
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
197
106
0
14 Jul 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
Robin Shing Moon Chan
Krzysztof Lis
Svenja Uhlemeyer
Hermann Blum
S. Honari
Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
112
136
0
30 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
520
21,815
0
25 Mar 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
Pixel-wise Anomaly Detection in Complex Driving Scenes
Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
UQCV
80
156
0
09 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,092
0
26 Feb 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution
  Detection in Semantic Segmentation
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
OODD
136
154
0
09 Dec 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko
Pavel Izmailov
A. Wilson
OODD
128
278
0
15 Jun 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
110
548
0
06 Dec 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
255
728
0
07 Jun 2019
Detecting the Unexpected via Image Resynthesis
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis
Krishna Kanth Nakka
Pascal Fua
Mathieu Salzmann
UQCV
82
178
0
16 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
102
159
0
05 Apr 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
197
1,490
0
11 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti
Y. Gal
UQCVBDL
107
225
0
30 Nov 2018
Prediction Error Meta Classification in Semantic Segmentation: Detection
  via Aggregated Dispersion Measures of Softmax Probabilities
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities
Matthias Rottmann
Pascal Colling
Thomas-Paul Hack
Robin Shing Moon Chan
Fabian Hüger
Peter Schlicht
Hanno Gottschalk
UQCV
163
82
0
01 Nov 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
129
759
0
22 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
359
3,154
0
09 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
533
13,256
0
07 Feb 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
296
3,960
0
30 Nov 2017
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
170
886
0
26 Nov 2017
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