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
Dropout Distillation for Efficiently Estimating Model Confidence Corina Gurau Alex Bewley Ingmar Posner BDL UQCV 11 19 0 27 Sep 2018
Diagnostics in Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid VLM SSeg 17 3 0 27 Sep 2018
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning Shusil Dangi Z. Yaniv Cristian A. Linte 41 24 0 26 Sep 2018
Confidence Inference for Focused Learning in Stereo Matching Ruichao Xiao Wenxiu Sun Chengxi Yang BDL 3DV 8 2 0 25 Sep 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 46 466 0 23 Sep 2018
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems Dongkun Zhang Lu Lu Ling Guo George Karniadakis UQCV 27 399 0 21 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 23 105 0 17 Sep 2018
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection Di Feng Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer 3DPC 24 69 0 14 Sep 2018
Deep Network Uncertainty Maps for Indoor Navigation Francesco Verdoja Jens Lundell Ville Kyrki UQCV 6 17 0 13 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations Vladimir Nekrasov Thanuja Dharmasiri Andrew Spek Tom Drummond Chunhua Shen Ian Reid 31 148 0 13 Sep 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors Alireza Shafaei Mark Schmidt James J. Little OODD 32 58 0 13 Sep 2018
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning S. Sedai B. Antony Dwarikanath Mahapatra R. Garnavi UQCV 23 61 0 12 Sep 2018
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? Marcela Carvalho Bertrand Le Saux Pauline Trouvé-Peloux Andrés Almansa F. Champagnat 3DV MDE 25 57 0 05 Sep 2018
Discriminative out-of-distribution detection for semantic segmentation Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 42 79 0 23 Aug 2018
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving Nemanja Djuric Vladan Radosavljevic Henggang Cui Thi Nguyen Fang-Chieh Chou Tsung-Han Lin Nitin Singh J. Schneider 37 206 0 17 Aug 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study Aditya Siddhant Zachary Chase Lipton AI4CE BDL 9 202 0 16 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 21 483 0 14 Aug 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation T. Nair Doina Precup Douglas L. Arnold Tal Arbel UQCV 17 438 0 03 Aug 2018
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data S. M. Kia Christian F. Beckmann A. Marquand 10 7 0 31 Jul 2018
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors Katarína Tóthová Sarah Parisot M. J. Lee Esther Puyol-Antón Lisa M. Koch A. King E. Konukoglu Marc Pollefeys UQCV 17 21 0 30 Jul 2018
Efficient Uncertainty Estimation for Semantic Segmentation in Videos Po-Yu Huang W. Hsu Chun-Yueh Chiu Tingfan Wu Min Sun BDL UQCV 17 107 0 29 Jul 2018
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series Axel Brando Jose A. Rodríguez-Serrano M. Ciprian Roberto Maestre Jordi Vitrià 6 18 0 24 Jul 2018
Peeking Behind Objects: Layered Depth Prediction from a Single Image Helisa Dhamo Keisuke Tateno Iro Laina Nassir Navab Federico Tombari GAN 3DV 32 60 0 23 Jul 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren UQCV MedIm OOD 67 582 0 19 Jul 2018
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation M. Laves J. Bicker L. Kahrs T. Ortmaier 27 94 0 16 Jul 2018
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps Kristoffer Wickstrøm Michael C. Kampffmeyer Robert Jenssen UQCV 19 77 0 16 Jul 2018
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs Thanuja Dharmasiri Andrew Spek Tom Drummond 3DV MDE 23 16 0 16 Jul 2018
Adversarially Learned Mixture Model Andrew Jesson Cécile Low-Kam Tanya Nair F. Soudan Florent Chandelier Nicolas Chapados 13 2 0 14 Jul 2018
Practical Obstacles to Deploying Active Learning David Lowell Zachary Chase Lipton Byron C. Wallace 33 111 0 12 Jul 2018
VFunc: a Deep Generative Model for Functions Philip Bachman Riashat Islam Alessandro Sordoni Zafarali Ahmed VLM BDL 36 8 0 11 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition Xiaoyong Yuan Pan He Xiaolin Li Dapeng Oliver Wu AAML 20 23 0 09 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 21 319 0 06 Jul 2018
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 27 136 0 04 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 27 114 0 02 Jul 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 41 622 0 01 Jul 2018
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions Zach Eaton-Rosen Felix J. S. Bragman Sotirios Bisdas Sebastien Ourselin M. Jorge Cardoso UQCV 23 85 0 22 Jun 2018
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization Apratim Bhattacharyya Mario Fritz Bernt Schiele UQCV BDL 24 2 0 18 Jun 2018
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning Felix J. S. Bragman Ryutaro Tanno Zach Eaton-Rosen Wenqi Li D. Hawkes Sebastien Ourselin Daniel C. Alexander J. McClelland M. Jorge Cardoso UQCV 33 49 0 18 Jun 2018
On Machine Learning and Structure for Mobile Robots Markus Wulfmeier 27 6 0 15 Jun 2018
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 11 18 0 15 Jun 2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran M. Reyes GAN MedIm 25 176 0 14 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 47 568 0 13 Jun 2018
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning A. Hess Raphael Meier Johannes Kaesmacher Simon Jung Fabien Scalzo D. Liebeskind Roland Wiest Richard McKinley MedIm 24 15 0 11 Jun 2018
Robust Semantic Segmentation with Ladder-DenseNet Models Ivan Kreso Marin Orsic Petra Bevandić Sinisa Segvic SSeg 25 12 0 09 Jun 2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation Alain Jungo Raphael Meier E. Ermiş Evelyn Herrmann M. Reyes UQCV 13 46 0 08 Jun 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation Alain Jungo Raphael Meier E. Ermiş Marcela Blatti-Moreno Evelyn Herrmann Roland Wiest M. Reyes UQCV 17 96 0 07 Jun 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,711 0 06 Jun 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images S. Graham Hao Chen Jevgenij Gamper Qi Dou Pheng-Ann Heng David R. J. Snead Yee Wah Tsang Nasir M. Rajpoot MedIm 19 302 0 05 Jun 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 90 953 0 05 Jun 2018
Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks Y. Gal Lewis Smith AAML BDL 52 34 0 02 Jun 2018