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Pixel-wise Anomaly Detection in Complex Driving Scenes

Pixel-wise Anomaly Detection in Complex Driving Scenes

Computer Vision and Pattern Recognition (CVPR), 2021
9 March 2021
Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Pixel-wise Anomaly Detection in Complex Driving Scenes"

50 / 101 papers shown
ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
Yuxing Liu
Y. Liu
Huanhuan Liang
Ji Zhang
Zeyu Sun
Yong Liu
129
0
0
02 Dec 2025
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic SegmentationInternational Conference on Information and Knowledge Management (CIKM), 2025
Nimeshika Udayangani
S. Erfani
Christopher Leckie
OODD
221
2
0
24 Nov 2025
Leveraging Text-Driven Semantic Variation for Robust OOD Segmentation
Leveraging Text-Driven Semantic Variation for Robust OOD Segmentation
Seungheon Song
Jaekoo Lee
164
1
0
10 Nov 2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Hanieh Shojaei Miandashti
C. Brenner
UQCV
254
1
0
08 Oct 2025
Training-Free Out-Of-Distribution Segmentation With Foundation Models
Training-Free Out-Of-Distribution Segmentation With Foundation Models
Laith Nayal
Hadi Salloum
Ahmad Taha
Yaroslav Kholodov
Alexander Gasnikov
VLM
151
0
0
03 Oct 2025
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao
Chao Shi
Muming Zhao
Guangtao Zhai
Chongyang Zhang
OODD
247
1
0
28 Sep 2025
Road Obstacle Video Segmentation
Road Obstacle Video Segmentation
Shyam Nandan Rai
Shyamgopal Karthik
Mariana-Iuliana Georgescu
Barbara Caputo
Carlo Masone
Zeynep Akata
VOS
278
0
0
16 Sep 2025
Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes
Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes
Ryan Faulkner
Luke Haub
Simon Ratcliffe
Tat-Jun Chin
3DPC
268
1
0
25 Aug 2025
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Marc Hölle
Walter Kellermann
Vasileios Belagiannis
OODDUQCV
266
1
0
01 Aug 2025
Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline
Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline
Shiyi Mu
Zichong Gu
Hanqi Lyu
Yilin Gao
Shugong Xu
3DPC
258
0
0
12 Jul 2025
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
Jeonghyo Song
Kimin Yun
DaeUng Jo
JinYoung Kim
Y. Yoo
LRM
174
2
0
05 Jul 2025
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
Haohan Chi
Huan-ang Gao
Ziming Liu
Jianing Liu
Chenyu Liu
...
Leichen Wang
Xingtao Hu
Hao Sun
Hang Zhao
Hao Zhao
VLM
366
36
0
29 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
Shixuan Liu
Alex C. Kot
Xudong Jiang
DiffM
289
1
0
28 Apr 2025
Multi-modality Anomaly Segmentation on the Road
Multi-modality Anomaly Segmentation on the Road
Heng Gao
Zhuolin He
Shoumeng Qiu
Xiangyang Xue
Jian Pu
363
0
0
22 Mar 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
709
9
0
04 Mar 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban ScenesAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
704
9
0
03 Jan 2025
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsBritish Machine Vision Conference (BMVC), 2022
Krzysztof Lis
Matthias Rottmann
Annika Mütze
S. Honari
Pascal Fua
Mathieu Salzmann
ViT
391
3
0
31 Dec 2024
Multi-Scale Foreground-Background Confidence for Out-of-Distribution
  Segmentation
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
Samuel Marschall
Kira Maag
422
3
0
22 Dec 2024
Neural Network Meta Classifier: Improving the Reliability of Anomaly
  Segmentation
Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
Jurica Runtas
Tomislav Petkovic
UQCV
308
0
0
14 Dec 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Chang Won Lee
Selina Leveugle
Svetlana Stolpner
Chris Langley
Paul Grouchy
Jonathan Kelly
Steven Waslander
347
1
0
29 Nov 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under
  Multiple Distribution Shifts
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution ShiftsNeural Information Processing Systems (NeurIPS), 2024
Zhitong Gao
Bingnan Li
Mathieu Salzmann
Xuming He
OODVLM
502
7
0
06 Nov 2024
A Systematic Review of Edge Case Detection in Automated Driving:
  Methods, Challenges and Future Directions
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
Saeed Rahmani
Sabine Rieder
Erwin de Gelder
Marcel Sonntag
Jorge Lorente Mallada
Sytze Kalisvaart
Vahid Hashemi
Simeon C. Calvert
316
5
0
11 Oct 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
Liangyu Zhong
Joachim Sicking
Fabian Hüger
Hanno Gottschalk
VLM
303
0
0
25 Sep 2024
UMAD: University of Macau Anomaly Detection Benchmark Dataset
UMAD: University of Macau Anomaly Detection Benchmark DatasetIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Dong Li
Lineng Chen
Cheng-Zhong Xu
Hui Kong
259
4
0
22 Aug 2024
On the Potential of Open-Vocabulary Models for Object Detection in
  Unusual Street Scenes
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
Sadia Ilyas
Ido Freeman
Matthias Rottmann
ObjD
384
7
0
20 Aug 2024
Using a Distance Sensor to Detect Deviations in a Planar Surface
Using a Distance Sensor to Detect Deviations in a Planar SurfaceIEEE Robotics and Automation Letters (RA-L), 2024
Carter Sifferman
William Sun
Mohit Gupta
Michael Gleicher
280
7
0
07 Aug 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
324
6
0
22 Jul 2024
CAS: Confidence Assessments of classification algorithms for Semantic
  segmentation of EO data
CAS: Confidence Assessments of classification algorithms for Semantic segmentation of EO data
Nikolaos Dionelis
Alessandra Feliciotti
222
0
0
26 Jun 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Daniel Bogdoll
Noël Ollick
Tim Joseph
J. Marius Zöllner
372
3
0
10 Jun 2024
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
Daniel Bogdoll
Jan Imhof
Tim Joseph
J. Marius Zöllner
J. Marius Zöllner
300
0
0
10 Jun 2024
PixOOD: Pixel-Level Out-of-Distribution Detection
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
411
16
0
30 May 2024
Anomaly detection for the identification of volcanic unrest in satellite
  imagery
Anomaly detection for the identification of volcanic unrest in satellite imagery
Robert Gabriel Popescu
Qirui Yang
Juliet Biggs
179
2
0
28 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
421
12
0
13 May 2024
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly
  localization
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
Ying Zhao
400
9
0
11 May 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex
  Driving Scenes
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
Zelong Zeng
Kaname Tomite
339
1
0
27 Apr 2024
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using PrototypesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Poulami Sinhamahapatra
Franziska Schwaiger
Shirsha Bose
Huiyu Wang
Karsten Roscher
Stephan Guennemann
312
1
0
11 Apr 2024
Road Obstacle Detection based on Unknown Objectness Scores
Road Obstacle Detection based on Unknown Objectness Scores
Chihiro Noguchi
T. Ohgushi
Masao Yamanaka
266
3
0
27 Mar 2024
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified
  Anomaly Detection
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
Xincheng Yao
Ruoqing Li
Zefeng Qian
Lu Wang
Chongyang Zhang
361
34
0
20 Mar 2024
Placing Objects in Context via Inpainting for Out-of-distribution
  Segmentation
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge
Riccardo Volpi
P. Dokania
Juil Sock
Grégory Rogez
DiffM
440
14
0
26 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
459
31
0
23 Feb 2024
Multimodal-Enhanced Objectness Learner for Corner Case Detection in
  Autonomous Driving
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
Lixing Xiao
Ruixiao Shi
Xiaoyang Tang
Yi Zhou
231
0
0
03 Feb 2024
Evaluation of Out-of-Distribution Detection Performance on Autonomous
  Driving Datasets
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
Jens Henriksson
C. Berger
Stig Ursing
Markus Borg
OODD
257
5
0
30 Jan 2024
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation
  Including the Unseen
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the UnseenAAAI Conference on Artificial Intelligence (AAAI), 2023
Hao Zhang
Fang Li
Lu Qi
Ming-Hsuan Yang
Narendra Ahuja
301
17
0
09 Dec 2023
Segment Every Out-of-Distribution Object
Segment Every Out-of-Distribution ObjectComputer Vision and Pattern Recognition (CVPR), 2023
Wenjie Zhao
Jia Li
Xin Dong
Yu Xiang
Yunhui Guo
432
23
0
27 Nov 2023
BatchNorm-based Weakly Supervised Video Anomaly Detection
BatchNorm-based Weakly Supervised Video Anomaly Detection
Yixuan Zhou
Yi Qu
Xing Xu
Fumin Shen
Jingkuan Song
Hengtao Shen
200
41
0
26 Nov 2023
A Metacognitive Approach to Out-of-Distribution Detection for
  Segmentation
A Metacognitive Approach to Out-of-Distribution Detection for SegmentationIEEE International Conference on Robotics and Automation (ICRA), 2023
Meghna Gummadi
Cassandra Kent
Karl Schmeckpeper
Eric Eaton
UQCV
247
2
0
04 Oct 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
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
318
8
0
27 Sep 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
Conditioning Latent-Space Clusters for Real-World Anomaly ClassificationIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Daniel Bogdoll
Svetlana Pavlitska
Simon Klaus
J. Marius Zöllner
DRL
245
2
0
18 Sep 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 SegmentationNeural Information Processing Systems (NeurIPS), 2023
Zhitong Gao
Shipeng Yan
Xuming He
OODOODD
326
20
0
12 Sep 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation
Mask2Anomaly: Mask Transformer for Universal Open-set SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shyam Nandan Rai
Fabio Cermelli
Barbara Caputo
Carlo Masone
ISegViT
415
19
0
08 Sep 2023
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