Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation

3 August 2021

Papers citing "Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation"

39 / 39 papers shown

Title
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation Samuel Marschall Kira Maag 78 1 0 22 Dec 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection Liangyu Zhong Joachim Sicking Fabian Hüger Hanno Gottschalk VLM 30 0 0 25 Sep 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 16 0 0 23 Sep 2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024 Tuan-Hung Vu Eduardo Valle Andrei Bursuc Tommie Kerssies Daan de Geus ... Michael J. Smith F. Ferrie Shamik Basu Christos Sakaridis Luc Van Gool UQCV VLM 41 3 0 23 Sep 2024
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models Hao Cheng Erjia Xiao Chengyuan Yu Zhao Yao Jiahang Cao ... Jiaxu Wang Mengshu Sun Kaidi Xu Jindong Gu Renjing Xu AAML 24 1 0 20 Sep 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
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 34 8 0 12 Mar 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation Pau de Jorge Riccardo Volpi P. Dokania Philip H. S. Torr Grégory Rogez DiffM 53 4 0 26 Feb 2024
Optimizing Delegation in Collaborative Human-AI Hybrid Teams Andrew Fuchs A. Passarella M. Conti 33 2 0 08 Feb 2024
Panoptic Out-of-Distribution Segmentation Rohit Mohan Kiran Kumaraswamy Juana Valeria Hurtado Kürsat Petek Abhinav Valada 19 8 0 18 Oct 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
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation Dan Zhang K. Sakmann William H. Beluch Robin Hutmacher Yumeng Li 30 4 0 19 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 11 4 0 17 Aug 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation Alexey Nekrasov Alexander Hermans L. Kuhnert Bastian Leibe 24 11 0 03 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 21 2 0 01 Aug 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 16 3 0 01 Jul 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Christos Sakaridis F. I. F. Richard Yu ISeg 18 23 0 26 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 57 6 0 16 May 2023
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles Pasquale Antonante Sushant Veer Zheng Li Xinshuo Weng Luca Carlone Marco Pavone 49 9 0 03 May 2023
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer Terence Jie Chua Wen-li Yu Junfeng Zhao AAML UQCV 16 1 0 18 Mar 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 30 7 0 13 Mar 2023
Compensating for Sensing Failures via Delegation in Human-AI Hybrid Systems Andrew Fuchs A. Passarella M. Conti 25 5 0 02 Mar 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 24 1 0 21 Feb 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 11 6 0 19 Jan 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation Matej Grcić Josip vSarić Sinivsa vSegvić UQCV 79 34 0 09 Jan 2023
RbA: Segmenting Unknown Regions Rejected by All Nazir Nayal Mısra Yavuz João F. Henriques Fatma Guney UQCV 19 46 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 25 11 0 12 Nov 2022
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
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 13 4 0 30 Aug 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 22 18 0 20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 37 24 0 22 May 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 13 28 0 02 Mar 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 173 273 0 28 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015