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SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
30 April 2021
Robin Shing Moon Chan
Krzysztof Lis
Svenja Uhlemeyer
Hermann Blum
S. Honari
Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
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Papers citing
"SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation"
24 / 24 papers shown
Title
Panoramic Out-of-Distribution Segmentation
Mengfei Duan
Kailun Yang
Y. Zhang
Yihong Cao
Fei Teng
Kai Luo
Jiaming Zhang
Zhiyong Li
Shutao Li
52
0
0
06 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
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
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
J. Zhang
Y. Wang
C. Zhao
56
3
0
03 Jan 2025
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
23
2
0
22 Jul 2024
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
A. Bhunia
Changjian Li
Hakan Bilen
48
0
0
28 Jun 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Daniel Bogdoll
Noël Ollick
Tim Joseph
J. Marius Zöllner
29
1
0
10 Jun 2024
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
38
9
0
30 May 2024
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
34
5
0
13 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
Luca Mossina
Joseba Dalmau
Léo Andéol
UQCV
33
11
0
16 Apr 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
InfraParis: A multi-modal and multi-task autonomous driving dataset
Gianni Franchi
Marwane Hariat
Xuanlong Yu
Nacim Belkhir
Antoine Manzanera
David Filliat
14
9
0
27 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
...
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
UQCV
33
4
0
27 Sep 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Christos Sakaridis
F. I. F. Richard Yu
ISeg
18
23
0
26 May 2023
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
24
49
0
13 Feb 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
17
19
0
06 Feb 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
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
Matthew Baugh
Jeremy Tan
Athanasios Vlontzos
Johanna P. Müller
Bernhard Kainz
OOD
14
2
0
02 Sep 2022
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
27
295
0
19 Jun 2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning
Julian Burghoff
Robin Shing Moon Chan
Hanno Gottschalk
Annika Muetze
Tobias Riedlinger
Matthias Rottmann
Marius Schubert
BDL
18
0
0
30 May 2022
A-Eye: Driving with the Eyes of AI for Corner Case Generation
K. Kowol
S. Bracke
Hanno Gottschalk
13
9
0
22 Feb 2022
Ad-datasets: a meta-collection of data sets for autonomous driving
Daniel Bogdoll
Felix Schreyer
J. Marius Zöllner
15
16
0
03 Feb 2022
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
252
9,134
0
06 Jun 2015
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