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

4 March 2025

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 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 Youssef Shoeb Azarm Nowzad Hanno Gottschalk 246 2 0 14 Feb 2025
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 Samuel Marschall Kira Maag 144 1 0 22 Dec 2024
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 Silvio Galesso Philipp Schroppel Hssan Driss Thomas Brox 81 2 0 22 Jul 2024
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 Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 582 32 1 29 Feb 2024
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 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 Zhitong Gao Shipeng Yan Xuming He OOD OODD 93 12 0 12 Sep 2023
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 Alexey Nekrasov Alexander Hermans L. Kuhnert Bastian Leibe 103 11 0 03 Aug 2023
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 J. Ackermann Daniel Gehrig Feng Yu ISeg 124 25 0 26 May 2023
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 VLM CLIP SSL 533 3,535 0 14 Apr 2023
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 MLLM VLM 477 7,476 0 05 Apr 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 79 8 0 23 Mar 2023
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 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 Matej Grcić Josip vSarić Sinivsa vSegvić UQCV 166 34 0 09 Jan 2023
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 Silvio Galesso Max Argus Thomas Brox UQCV 96 11 0 12 Nov 2022
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 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 Zhilin Zhao LongBing Cao Kun-Yu Lin 77 6 0 19 Jun 2022
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 Svenja Uhlemeyer Matthias Rottmann Hanno Gottschalk 133 18 0 04 Jan 2022
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 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? 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 Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 197 106 0 14 Jul 2021
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 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 Giancarlo Di Biase Hermann Blum Roland Siegwart Cesar Cadena UQCV 80 156 0 09 Mar 2021
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 CLIP VLM 1.1K 30,092 0 26 Feb 2021
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 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 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 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 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 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 Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 197 1,490 0 11 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 107 225 0 30 Nov 2018
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? 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 Diederik P. Kingma Prafulla Dhariwal BDL DRL 359 3,154 0 09 Jul 2018
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 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 Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 170 886 0 26 Nov 2017