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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
Bayesian Evidential Deep Learning with PAC Regularization Manuel Haussmann S. Gerwinn M. Kandemir UQCV EDL BDL 209 1 0 03 Jun 2019
Computing Valid p-values for Image Segmentation by Selective InferenceComputer Vision and Pattern Recognition (CVPR), 2019 Kosuke Tanizaki Noriaki Hashimoto Yu Inatsu H. Hontani Ichiro Takeuchi 179 39 0 03 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 173 97 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 144 3 0 30 May 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 183 13 0 29 May 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCTIEEE Transactions on Medical Imaging (TMI), 2019 Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 277 144 0 29 May 2019
Evaluating and Calibrating Uncertainty Prediction in Regression TasksItalian National Conference on Sensors (INS), 2019 Dan Levi Liran Gispan Niv Giladi Ethan Fetaya UQCV 346 169 0 28 May 2019
Generative Parameter Sampler For Scalable Uncertainty Quantification Minsuk Shin Young Lee Jun S. Liu 163 0 0 28 May 2019
Radial Prediction Layer Christian Herta Benjamin Voigt 85 1 0 27 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 S. Thulasidasan Gopinath Chennupati J. Bilmes Tanmoy Bhattacharya S. Michalak UQCV 510 586 0 27 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks Kumar Shridhar JoonHo Lee Hideaki Hayashi Purvanshi Mehta Brian Kenji Iwana Seokjun Kang S. Uchida Sheraz Ahmed Andreas Dengel DiffM AAML 169 35 0 26 May 2019
Exploring Temporal Information for Improved Video Understanding Yi Zhu 168 0 0 25 May 2019
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity Engkarat Techapanurak Masanori Suganuma Takayuki Okatani OODD 314 30 0 25 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng Zhang BDL 138 58 0 24 May 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 178 26 0 24 May 2019
Uncertainty Estimation in One-Stage Object DetectionInternational Conference on Intelligent Transportation Systems (ITSC), 2019 Florian Kraus Klaus C. J. Dietmayer UQCV 176 86 0 24 May 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 259 109 0 23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 153 8 0 23 May 2019
Constraining the Parameters of High-Dimensional Models with Active Learning S. Caron Tom Heskes Sydney Otten B. Stienen AI4CE 146 33 0 19 May 2019
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems Sina Mohseni Akshay V. Jagadeesh Zinan Lin 167 14 0 19 May 2019
Learning Representations for Predicting Future Activities Mohammadreza Zolfaghari Özgün Çiçek S. M. Ali F. Mahdisoltani Can Zhang Thomas Brox AI4TS 191 6 0 09 May 2019
Uncertainty-Aware Data Aggregation for Deep Imitation LearningIEEE International Conference on Robotics and Automation (ICRA), 2019 Yuchen Cui David Isele S. Niekum K. Fujimura 253 32 0 07 May 2019
Test Selection for Deep Learning SystemsACM Transactions on Software Engineering and Methodology (TOSEM), 2019 Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 132 103 0 30 Apr 2019
Perceptual Attention-based Predictive Control Keuntaek Lee G. N. An Viacheslav Zakharov Evangelos A. Theodorou 160 20 0 26 Apr 2019
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays Behzad Bozorgtabar Dwarikanath Mahapatra Hendrik von Teng Alexander Pollinger L. Ebner Jean-Phillipe Thiran M. Reyes MedIm GAN 136 34 0 24 Apr 2019
Probabilistic Face Embeddings Yichun Shi Anil K. Jain CVBM 429 342 0 21 Apr 2019
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks Nico Engel S. Hörmann Markus Horn Vasileios Belagiannis Klaus C. J. Dietmayer SSL 183 37 0 18 Apr 2019
Gaze Training by Modulated Dropout Improves Imitation Learning Yuying Chen Congcong Liu L. Tai Ming-Yuan Liu Bertram E. Shi 197 20 0 17 Apr 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 263 204 0 16 Apr 2019
Curious iLQR: Resolving Uncertainty in Model-based RL Sarah Bechtle Yixin Lin Akshara Rai Ludovic Righetti Franziska Meier 133 37 0 15 Apr 2019
Multi-View Stereo by Temporal Nonparametric Fusion Wenshuai Zhao Arno Solin Arno Solin 216 94 0 12 Apr 2019
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout I. Cortés-Ciriano A. Bender OOD 177 47 0 12 Apr 2019
Novel Uncertainty Framework for Deep Learning Ensembles Tal Kachman Michal Moshkovitz Michal Rosen-Zvi UQCV OOD BDL 119 3 0 09 Apr 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi Dayoung Chun Hyun Kim Hyuk-Jae Lee 252 430 0 09 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 151 6 0 09 Apr 2019
Visualization of Convolutional Neural Networks for Monocular Depth Estimation Junjie Hu Yan Zhang Takayuki Okatani MDE 172 91 0 06 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation Hermann Blum Paul-Edouard Sarlin Juan I. Nieto Roland Siegwart Cesar Cadena UQCV 350 180 0 05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 180 25 0 05 Apr 2019
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks Richard McKinley Michael Rebsamen Raphael Meier M. Reyes C. Rummel Roland Wiest 68 13 0 04 Apr 2019
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks K. Posch J. Pilz UQCV BDL 169 30 0 02 Apr 2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework Daniel Bauer L. Kuhnert L. Eckstein EDL 115 14 0 29 Mar 2019
An Alarm System For Segmentation Algorithm Based On Shape Model Fengze Liu Yingda Xia Ke Wang Alan Yuille Daguang Xu 158 22 0 26 Mar 2019
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2019 Gregory P. Meyer A. Laddha E. Kee Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 303 367 0 20 Mar 2019
Performance Measurement for Deep Bayesian Neural Network Yikuan Li Yajie Zhu BDL OOD UQCV 77 1 0 20 Mar 2019
Uncertainty quantification of molecular property prediction with Bayesian neural networks Seongok Ryu Yongchan Kwon W. Kim BDL 144 20 0 20 Mar 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2019 Jia-Xing Zhong Nannan Li Weijie Kong Shan Liu Thomas H. Li Ge Li NoLa SSL 249 477 0 18 Mar 2019
Crowd Counting with Decomposed Uncertainty Min Hwan Oh Peder Olsen Karthikeyan N. Ramamurthy UQCV 251 115 0 15 Mar 2019
PifPaf: Composite Fields for Human Pose Estimation S. Kreiss Lorenzo Bertoni Alexandre Alahi 3DH 243 461 0 15 Mar 2019
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations Shuaifeng Zhi Michael Bloesch Stefan Leutenegger Andrew J. Davison 3DV 186 86 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 161 124 0 09 Mar 2019