Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends

5 January 2021

Papers citing "Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends"

50 / 54 papers shown

Title
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick Miller Robert Lee Paarth Shah Rares Andrei Ambrus Haruki Nishimura Masha Itkina OffRL 236 3 0 11 Mar 2025
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 77 226 0 20 Nov 2020
Online Monitoring of Object Detection Performance During Deployment Q. Rahman Niko Sünderhauf Feras Dayoub 35 8 0 16 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 336 1,922 0 12 Nov 2020
Monitoring and Diagnosability of Perception Systems Pasquale Antonante David I. Spivak Luca Carlone 79 31 0 11 Nov 2020
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 124 11 0 11 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 74 63 0 03 Nov 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 101 25 0 04 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 109 797 0 24 Sep 2020
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping Sadegh Rabiee Joydeep Biswas 45 15 0 06 Aug 2020
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring Zhihui Shao Jianyi Yang Shaolei Ren HILM 48 10 0 03 Jul 2020
Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation Arjun Gupta Luca Carlone 3DH 33 9 0 11 May 2020
Monocular Depth Estimation Based On Deep Learning: An Overview Chaoqiang Zhao Qiyu Sun Chongzhen Zhang Yang Tang Feng Qian MDE 199 254 0 14 Mar 2020
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 175 75 0 28 Jan 2020
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 72 59 0 20 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 75 52 0 18 Nov 2019
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 77 34 0 12 Nov 2019
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation Junjiao Tian W. Cheung Nathan Glaser Yen-Cheng Liu Z. Kira 55 26 0 06 Nov 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 98 289 0 01 Oct 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 167 1,695 0 06 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 139 18,134 0 28 May 2019
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems Sina Mohseni Akshay V. Jagadeesh Zhangyang Wang 49 14 0 19 May 2019
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction Nikos Kolotouros Georgios Pavlakos Kostas Daniilidis 3DH 89 527 0 08 May 2019
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors Q. Rahman Niko Sünderhauf Feras Dayoub 60 33 0 15 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 59 119 0 09 Mar 2019
IVOA: Introspective Vision for Obstacle Avoidance Sadegh Rabiee Joydeep Biswas 33 24 0 04 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 113 1,715 0 13 Feb 2019
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control Rhiannon Michelmore Marta Kwiatkowska Y. Gal UQCV 49 102 0 16 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 113 82 0 01 Nov 2018
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 59 368 0 29 Oct 2018
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving W. Zhou J. S. Berrio Stewart Worrall E. Nebot 146 72 0 24 Oct 2018
Runtime Monitoring Neuron Activation Patterns Chih-Hong Cheng Georg Nührenberg Hirotoshi Yasuoka 53 75 0 18 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 106 108 0 17 Sep 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors Alireza Shafaei Mark Schmidt James J. Little OODD 107 58 0 13 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 162 2,455 0 06 Sep 2018
Metric Learning for Novelty and Anomaly Detection Marc Masana Idoia Ruiz J. Serrat Joost van de Weijer Antonio M. López OODD 68 80 0 16 Aug 2018
Real-time Prediction of Segmentation Quality Robert Robinson Ozan Oktay Wenjia Bai V. Valindria M. Sanghvi ... S. Neubauer S. Petersen Chris Page Daniel Rueckert Ben Glocker 35 55 0 16 Jun 2018
Failure Prediction for Autonomous Driving Simon Hecker Dengxin Dai Luc Van Gool 76 58 0 04 May 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 64 246 0 13 Apr 2018
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 125 1,066 0 06 Oct 2017
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars M. Ramanagopal Cyrus Anderson Ram Vasudevan Matthew Johnson-Roberson 54 104 0 30 Jun 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 527 0 23 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 592 0 22 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth V. Valindria I. Lavdas Wenjia Bai Konstantinos Kamnitsas E. Aboagye A. Rockall Daniel Rueckert Ben Glocker 61 127 0 11 Feb 2017
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information Inkyu Sa Christopher F. Lehnert Andrew English Chris McCool Feras Dayoub B. Upcroft Tristan Perez 49 110 0 30 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 832 5,821 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 158 3,454 0 07 Oct 2016
Introspective Perception: Learning to Predict Failures in Vision Systems S. Daftry S. Zeng J. Andrew Bagnell M. Hebert 43 80 0 28 Jul 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 251 18,240 0 02 Jun 2016