What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017

Alex Kendall

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

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Title
Risk-Aware Reasoning for Autonomous Vehicles Majid Khonji Jorge Dias Lakmal Seneviratne 24 0 0 06 Oct 2019
Estimating localized complexity of white-matter wiring with GANs H. T. Hallgrímsson Richika Sharan Scott T. Grafton Ambuj K. Singh 25 1 0 02 Oct 2019
Joint Learning of Semantic Alignment and Object Landmark Detection Sangryul Jeon Dongbo Min Seungryong Kim Kwanghoon Sohn ObjD 25 18 0 02 Oct 2019
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction Clebeson Canuto dos Santos Plinio Moreno J. L. A. Samatelo R. Vassallo J. Santos-Victor 25 7 0 01 Oct 2019
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry Rhys E. A. Goodall A. Lee 21 254 0 01 Oct 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 33 283 0 01 Oct 2019
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier UQCV 25 54 0 30 Sep 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 26 30 0 28 Sep 2019
Noisy Batch Active Learning with Deterministic Annealing Gaurav Gupta Anit Kumar Sahu Wan-Yi Lin NoLa 40 6 0 27 Sep 2019
Energy-Based Models for Deep Probabilistic Regression Fredrik K. Gustafsson Martin Danelljan Goutam Bhat Thomas B. Schon UQCV BDL 30 4 0 26 Sep 2019
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection Nilesh A. Ahuja I. Ndiour Trushant Kalyanpur Omesh Tickoo OODD 14 68 0 25 Sep 2019
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control Rhiannon Michelmore Matthew Wicker Luca Laurenti L. Cardelli Y. Gal Marta Z. Kwiatkowska BDL 21 105 0 21 Sep 2019
Visual Odometry Revisited: What Should Be Learnt? Huangying Zhan C. Weerasekera Jiawang Bian Ian Reid MDE 27 156 0 21 Sep 2019
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias Asma Ghandeharioun B. Eoff Brendan Jou Rosalind W. Picard UD UQCV 27 14 0 20 Sep 2019
Gaze Estimation for Assisted Living Environments P. Dias Damiano Malafronte Henry Medeiros Francesca Odone 21 32 0 19 Sep 2019
Self-Supervised Monocular Depth Hints Jamie Watson Michael Firman Gabriel J. Brostow Daniyar Turmukhambetov SSL MDE 28 247 0 19 Sep 2019
NEMO: Future Object Localization Using Noisy Ego Priors Srikanth Malla Isht Dwivedi Behzad Dariush Chiho Choi 34 12 0 17 Sep 2019
Learn to Estimate Labels Uncertainty for Quality Assurance Agnieszka Tomczack Nassir Navab Shadi Albarqouni OOD UQCV BDL 14 6 0 17 Sep 2019
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor Masashi Okada Shinji Takenaka T. Taniguchi 44 4 0 16 Sep 2019
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception Maymoonah Toubeh Pratap Tokekar UQCV 25 4 0 13 Sep 2019
Probabilistic framework for solving Visual Dialog Badri N. Patro Anupriy Vinay P. Namboodiri BDL 32 13 0 11 Sep 2019
Confidence Measure Guided Single Image De-raining R. Yasarla Vishal M. Patel 30 51 0 10 Sep 2019
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors Jayaraman J. Thiagarajan Bindya Venkatesh P. Sattigeri P. Bremer UQCV 30 31 0 09 Sep 2019
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching Youming Zhang Yimin Chen Xiao Bai J. Zhou Kun Yu Zhiwei Li Kuiyuan Yang 3DV 22 180 0 09 Sep 2019
Counterfactual Depth from a Single RGB Image Theerasit Issaranon Chuhang Zou David A. Forsyth 3DV 25 4 0 03 Sep 2019
Epistemic Uncertainty Sampling Vu-Linh Nguyen Sebastien Destercke Eyke Hüllermeier PER UD 19 48 0 31 Aug 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation Shuo Wang Yang Liu Chao Wang Huanbo Luan Maosong Sun UQLM 45 81 0 31 Aug 2019
Active Learning for UAV-based Semantic Mapping Hermann Blum Silvan Rohrbach Marija Popović Luca Bartolomei Roland Siegwart 22 9 0 29 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 38 752 0 27 Aug 2019
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Martin Mundt Iuliia Pliushch Sagnik Majumder Visvanathan Ramesh UQCV EDL 29 40 0 26 Aug 2019
Object-Driven Multi-Layer Scene Decomposition From a Single Image Helisa Dhamo Nassir Navab Federico Tombari 3DV 27 30 0 26 Aug 2019
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 37 14 0 26 Aug 2019
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing Xianan Huang Boqi Li H. Peng Joshua A. Auld Vadim Sokolov 14 8 0 23 Aug 2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks Juan Maroñas Roberto Paredes Palacios D. Ramos-Castro UQCV BDL 24 24 0 23 Aug 2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Michel Moukari Loïc Simon Sylvaine Picard F. Jurie UQCV 29 4 0 20 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 31 7 0 19 Aug 2019
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes Fabian Brickwedde Steffen Abraham Rudolf Mester MDE 22 50 0 17 Aug 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Badri N. Patro Mayank Lunayach Shivansh Patel Vinay P. Namboodiri FAtt UQCV 27 76 0 17 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 25 32 0 15 Aug 2019
Bayesian Inference for Large Scale Image Classification Jonathan Heek Nal Kalchbrenner UQCV BDL 23 33 0 09 Aug 2019
Adversarial View-Consistent Learning for Monocular Depth Estimation Yixuan Liu Yuwang Wang Shengjin Wang MDE 26 1 0 04 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 36 81 0 03 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 27 139 0 01 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 27 12 0 01 Aug 2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes Nicolas Marchal Charlotte Moraldo Roland Siegwart Hermann Blum Cesar Cadena Abel Gawel 39 16 0 01 Aug 2019
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network Nao Mishima Tatsuo Kozakaya Akihisa Moriya R. Okada S. Hiura 3DV 26 3 0 01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 32 33 0 31 Jul 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties Ligong Han Yang Zou Ruijiang Gao Lezi Wang Dimitris N. Metaxas 31 30 0 25 Jul 2019
Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction Hamid Hekmatian Jingfu Jin S. Al-Stouhi 3DPC 3DV 22 4 0 23 Jul 2019
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis Anjany Sekuboyina Markus Rempfler A. Valentinitsch M. Löffler Jan S. Kirschke Bjoern H. Menze 3DPC 26 10 0 22 Jul 2019