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?"

50 / 2,214 papers shown

Title
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems Sina Mohseni Akshay V. Jagadeesh Zhangyang Wang 27 13 0 19 May 2019
Learning Representations for Predicting Future Activities Mohammadreza Zolfaghari Özgün Çiçek S. M. Ali F. Mahdisoltani Can Zhang Thomas Brox AI4TS 10 6 0 09 May 2019
Uncertainty-Aware Data Aggregation for Deep Imitation Learning Yuchen Cui David Isele S. Niekum K. Fujimura 14 27 0 07 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 21 92 0 30 Apr 2019
Perceptual Attention-based Predictive Control Keuntaek Lee G. N. An Viacheslav Zakharov Evangelos A. Theodorou 15 19 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 26 33 0 24 Apr 2019
Probabilistic Face Embeddings Yichun Shi Anil K. Jain CVBM 24 305 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 39 35 0 18 Apr 2019
Gaze Training by Modulated Dropout Improves Imitation Learning Yuying Chen Congcong Liu L. Tai Ming Liu Bertram E. Shi 20 16 0 17 Apr 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis K. K. Nakka Pascal Fua Mathieu Salzmann UQCV 14 175 0 16 Apr 2019
Curious iLQR: Resolving Uncertainty in Model-based RL Sarah Bechtle Yixin Lin Akshara Rai Ludovic Righetti Franziska Meier 24 34 0 15 Apr 2019
Multi-View Stereo by Temporal Nonparametric Fusion Wenshuai Zhao Arno Solin Arno Solin 19 80 0 12 Apr 2019
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout I. Cortés-Ciriano A. Bender OOD 36 47 0 12 Apr 2019
Novel Uncertainty Framework for Deep Learning Ensembles Tal Kachman Michal Moshkovitz Michal Rosen-Zvi UQCV OOD BDL 34 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 43 397 0 09 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 24 6 0 09 Apr 2019
Visualization of Convolutional Neural Networks for Monocular Depth Estimation Junjie Hu Yan Zhang Takayuki Okatani MDE 33 83 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 13 156 0 05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 22 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 16 13 0 04 Apr 2019
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks K. Posch J. Pilz UQCV BDL 21 28 0 02 Apr 2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework Daniel Bauer L. Kuhnert L. Eckstein EDL 19 12 0 29 Mar 2019
An Alarm System For Segmentation Algorithm Based On Shape Model Fengze Liu Yingda Xia Ke Wang Alan Yuille Daguang Xu 23 22 0 26 Mar 2019
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving Gregory P. Meyer A. Laddha E. Kee Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 37 338 0 20 Mar 2019
Performance Measurement for Deep Bayesian Neural Network Yikuan Li Yajie Zhu BDL OOD UQCV 13 1 0 20 Mar 2019
Uncertainty quantification of molecular property prediction with Bayesian neural networks Seongok Ryu Yongchan Kwon W. Kim BDL 19 17 0 20 Mar 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection Jia-Xing Zhong Nannan Li Weijie Kong Shan Liu Thomas H. Li Ge Li NoLa SSL 24 397 0 18 Mar 2019
Crowd Counting with Decomposed Uncertainty Min Hwan Oh Peder Olsen Karthikeyan N. Ramamurthy UQCV 34 108 0 15 Mar 2019
PifPaf: Composite Fields for Human Pose Estimation S. Kreiss Lorenzo Bertoni Alexandre Alahi 3DH 27 420 0 15 Mar 2019
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations Shuaifeng Zhi Michael Bloesch Stefan Leutenegger Andrew J. Davison 3DV 42 76 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 26 115 0 09 Mar 2019
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi 15 13 0 05 Mar 2019
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective L. Tai Peng Yun Yuying Chen Congcong Liu Haoyang Ye Ming Liu 24 0 0 03 Mar 2019
Aggregating explanation methods for stable and robust explainability Laura Rieger Lars Kai Hansen AAML FAtt 37 11 0 01 Mar 2019
Self-supervised Learning for Single View Depth and Surface Normal Estimation Huangying Zhan C. Weerasekera Ravi Garg Ian Reid MDE SSL 27 27 0 01 Mar 2019
Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks Youngji Kim Ayoung Kim 11 0 0 26 Feb 2019
Learning a Deep ConvNet for Multi-label Classification with Partial Labels Thibaut Durand Nazanin Mehrasa Greg Mori SSL 24 227 0 26 Feb 2019
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation Soochan Lee Junsoo Ha Gunhee Kim GAN 17 27 0 25 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 46 989 0 21 Feb 2019
Evaluating model calibration in classification Juozas Vaicenavicius David Widmann Carl R. Andersson Fredrik Lindsten Jacob Roll Thomas B. Schon UQCV 17 195 0 19 Feb 2019
ProtoAttend: Attention-Based Prototypical Learning Sercan O. Arik Tomas Pfister 27 19 0 17 Feb 2019
Towards Self-Supervised High Level Sensor Fusion Qadeer Ahmad Khan Torsten Schön Patrick Wenzel SSL 39 3 0 12 Feb 2019
Vulnerable road user detection: state-of-the-art and open challenges Patrick Mannion 19 12 0 10 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang Adriana Romero Matthew Muckley Pascal Vincent Lin Yang M. Drozdzal 19 110 0 08 Feb 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems Ahmed Taha Yi-Ting Chen Teruhisa Misu Abhinav Shrivastava L. Davis 19 17 0 07 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 45 796 0 07 Feb 2019
Probabilistic Discriminative Learning with Layered Graphical Models Yuesong Shen Tao Wu Csaba Domokos Daniel Cremers BDL 15 2 0 31 Jan 2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps Sascha Wirges Marcel Reith-Braun Martin Lauer Christoph Stiller 3DPC 36 32 0 31 Jan 2019
Uncertainty Quantification in Deep MRI Reconstruction Vineet Edupuganti Morteza Mardani S. Vasanawala John M. Pauly UQCV 27 95 0 31 Jan 2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector Di Feng Xiao Wei Lars Rosenbaum A. Maki Klaus C. J. Dietmayer 3DPC 28 86 0 29 Jan 2019