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
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles Shivam Gautam Gregory P. Meyer Carlos Vallespi-Gonzalez Brian C. Becker 27 3 0 09 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 345 53 0 09 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 191 497 0 08 Mar 2020
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds Yutao Han Hubert Lin Jacopo Banfi Kavita Bala M. Campbell 3DV 3DPC 18 6 0 06 Mar 2020
Scalable Uncertainty for Computer Vision with Functional Variational Inference Eduardo D C Carvalho R. Clark Andrea Nicastro Paul H. J. Kelly BDL UQCV 245 22 0 06 Mar 2020
Individual Claims Forecasting with Bayesian Mixture Density Networks Kevin Kuo AI4TS 27 13 0 05 Mar 2020
Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning Yiming Sun Bing Cao Pengfei Zhu Q. Hu 24 241 0 05 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry Nan Yang Lukas von Stumberg Rui Wang Daniel Cremers MDE 35 372 0 02 Mar 2020
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization Jary Pomponi Simone Scardapane A. Uncini UQCV BDL 22 18 0 02 Mar 2020
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 67 57 0 02 Mar 2020
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships Yongjiang Chen L. Tai Kai-Lung Sun Mingyang Li 3DPC 24 260 0 01 Mar 2020
Transferring Dense Pose to Proximal Animal Classes A. Sanakoyeu Vasil Khalidov Maureen S. McCarthy Andrea Vedaldi Natalia Neverova 3DH 24 60 0 28 Feb 2020
A general framework for ensemble distribution distillation Jakob Lindqvist Amanda Olmin Fredrik Lindsten Lennart Svensson FedML UQCV BDL 17 19 0 26 Feb 2020
Fundamental Issues Regarding Uncertainties in Artificial Neural Networks N. Thacker C. Twining P. Tar S. Notley V. Ramesh UQCV 9 0 0 25 Feb 2020
Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction Stefan Eggenreich Christian Payer M. Urschler Darko Štern 4 2 0 25 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 39 101 0 21 Feb 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 642 0 20 Feb 2020
A Financial Service Chatbot based on Deep Bidirectional Transformers S. Yu Yuxin Chen Hussain Zaidi 35 33 0 17 Feb 2020
Learning to Predict Error for MRI Reconstruction Shi Hu Nicola Pezzotti Max Welling UQCV 14 14 0 13 Feb 2020
Self-explaining AI as an alternative to interpretable AI Daniel C. Elton 14 56 0 12 Feb 2020
Validating uncertainty in medical image translation Jacob C. Reinhold Yufan He Shizhong Han Yunqiang Chen Dashan Gao Junghoon Lee Jerry L. Prince A. Carass UQCV MedIm 9 21 0 11 Feb 2020
Finding novelty with uncertainty Jacob C. Reinhold Yufan He Shizhong Han Yunqiang Chen Dashan Gao Junghoon Lee Jerry L. Prince A. Carass UQCV 6 9 0 11 Feb 2020
Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning M. Mehltretter UQCV BDL 27 8 0 10 Feb 2020
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving Di Feng Yifan Cao Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer UQCV 3DPC 31 23 0 01 Feb 2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso UQCV 22 13 0 31 Jan 2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control Esther Puyol-Antón B. Ruijsink Christian F. Baumgartner Matthew Sinclair E. Konukoglu Reza Razavi A. King 13 33 0 31 Jan 2020
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages Edoardo Ponti Ivan Vulić Ryan Cotterell Marinela Parović Roi Reichart Anna Korhonen BDL 33 29 0 30 Jan 2020
The Case for Bayesian Deep Learning A. Wilson UQCV BDL OOD 17 110 0 29 Jan 2020
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation N. Brosse C. Riquelme Alice Martin Sylvain Gelly Eric Moulines BDL OOD UQCV 19 33 0 22 Jan 2020
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen 33 106 0 15 Jan 2020
RoutedFusion: Learning Real-time Depth Map Fusion Silvan Weder Johannes L. Schonberger Marc Pollefeys Martin R. Oswald 27 79 0 13 Jan 2020
What can robotics research learn from computer vision research? Peter Corke Feras Dayoub David Hall John Skinner Niko Sünderhauf 24 7 0 08 Jan 2020
Aleatoric and Epistemic Uncertainty with Random Forests M. Shaker Eyke Hüllermeier BDL UD PER 25 70 0 03 Jan 2020
Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation B. Arain Feras Dayoub P. Rigby M. Dunbabin 12 2 0 02 Jan 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis Mahendra Khened Avinash Kori Haran Rajkumar Balaji Srinivasan Ganapathy Krishnamurthi MedIm LM&MA 230 167 0 01 Jan 2020
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 21 25 0 31 Dec 2019
Optimal Uncertainty-guided Neural Network Training H. M. D. Kabir Abbas Khosravi A. Kavousi-fard S. Nahavandi D. Srinivasan 6 38 0 30 Dec 2019
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability José Mena O. Pujol Jordi Vitrià 21 8 0 29 Dec 2019
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 26 51 0 24 Dec 2019
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks Angelos Filos Sebastian Farquhar Aidan Gomez Tim G. J. Rudner Zachary Kenton Lewis Smith Milad Alizadeh A. D. Kroon Y. Gal BDL AAML OOD UQCV 22 108 0 22 Dec 2019
Practical Solutions for Machine Learning Safety in Autonomous Vehicles Sina Mohseni Mandar Pitale Vasu Singh Zhangyang Wang 38 67 0 20 Dec 2019
AANet: Attribute Attention Network for Person Re-Identifications Chiat-Pin Tay Sharmili Roy Kim-Hui Yap 3DPC 22 302 0 19 Dec 2019
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data Jeya Maria Jose Valanarasu R. Yasarla Puyang Wang Ilker Hacihaliloglu Vishal M. Patel 21 29 0 18 Dec 2019
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk 11 16 0 16 Dec 2019
Inferring Distributions Over Depth from a Single Image Gengshan Yang Peiyun Hu Deva Ramanan UQCV 39 20 0 12 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 34 59 0 11 Dec 2019
Gaussian Process Priors for View-Aware Inference Wenshuai Zhao Ari Heljakka Arno Solin BDL 31 1 0 06 Dec 2019
Detection of Face Recognition Adversarial Attacks F. V. Massoli F. Carrara Giuseppe Amato Fabrizio Falchi AAML 22 55 0 05 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 37 536 0 05 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 41 620 0 05 Dec 2019