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ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation

12 September 2023

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Papers citing "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation"

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Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 240 2 0 04 Mar 2025
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation Hyesu Lim Byeonggeun Kim Jaegul Choo Sungha Choi TTA 66 91 0 10 Feb 2023
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes Sungha Choi Seunghan Yang Seokeon Choi Sungrack Yun TTA OOD 73 65 0 24 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 53 55 0 06 Jul 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation Yuliang Zou Zizhao Zhang Chun-Liang Li Han Zhang Tomas Pfister Jia-Bin Huang TTA OOD 84 14 0 30 Mar 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 109 431 0 25 Mar 2022
SITA: Single Image Test-time Adaptation Ansh Khurana S. Paul Piyush Rai Soma Biswas Gaurav Aggarwal 120 53 0 04 Dec 2021
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization M. Jehanzeb Mirza Jakub Micorek Horst Possegger Horst Bischof 74 133 0 01 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 115 485 0 24 Nov 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 131 88 0 24 Nov 2021
MixNorm: Test-Time Adaptation Through Online Normalization Estimation Xuefeng Hu M. Uzunbas Sirius Chen Rui Wang Ashish Shah Ram Nevatia Ser-Nam Lim TTA 51 48 0 21 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 293 940 0 21 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift Fuming You Jingjing Li Zhou Zhao OOD 55 56 0 06 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 184 75 0 12 Sep 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 92 131 0 26 Aug 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Sanghun Jung Jungsoo Lee Daehoon Gwak Sungha Choi Jaegul Choo 125 96 0 23 Jul 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 215 1,470 0 12 May 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 84 136 0 30 Apr 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes Giancarlo Di Biase Hermann Blum Roland Siegwart Cesar Cadena UQCV 56 156 0 09 Mar 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 122 153 0 09 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,374 0 08 Oct 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 99 482 0 30 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 100 249 0 19 Jun 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation Yingda Xia Yi Zhang Fengze Liu Wei Shen Alan Yuille UQCV 81 153 0 18 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 90 91 0 06 Mar 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 90 546 0 06 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 193 486 0 25 Nov 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 57 178 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 61 159 0 05 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,455 0 28 Mar 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu Himalaya Jain Max Bucher Matthieu Cord P. Pérez 133 1,298 0 30 Nov 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,063 0 10 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 128 882 0 26 Nov 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,480 0 07 Oct 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles Peter Pinggera Sebastian Ramos S. Gehrig Uwe Franke Carsten Rother Rudolf Mester UQCV 55 192 0 15 Sep 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,644 0 06 Apr 2016
Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long Hanjing Zhu Jianmin Wang Michael I. Jordan OOD 97 1,492 0 14 Feb 2016