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Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

13 January 2021

Ali Harakeh

Steven L. Waslander

UQCV

ArXiv (abs)PDF HTML Github (67★)

Papers citing "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors"

31 / 31 papers shown

Title
A Spectral Energy Distance for Parallel Speech Synthesis A. Gritsenko Tim Salimans Rianne van den Berg Jasper Snoek Nal Kalchbrenner 45 70 0 03 Aug 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection Youngwan Lee Joong-won Hwang Hyungil Kim Kimin Yun Yongjin Kwon Yuseok Bae Joungyoul Park 75 32 0 28 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 434 13,108 0 26 May 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 84 320 0 15 Feb 2020
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving Di Feng Lars Rosenbaum Claudius Glaeser Fabian Timm Klaus C. J. Dietmayer UQCV 3DPC 49 39 0 26 Sep 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 176 357 0 23 Sep 2019
A Mask-RCNN Baseline for Probabilistic Object Detection Phil Ammirato Alexander C. Berg 52 18 0 09 Aug 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 183 1,702 0 06 Jun 2019
Reliable training and estimation of variance networks N. Detlefsen Martin Jørgensen Søren Hauberg UQCV 95 89 0 04 Jun 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 60 83 0 24 May 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi Dayoung Chun Hyun Kim Hyuk-Jae Lee 77 402 0 09 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,452 0 28 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 76 338 0 20 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 62 119 0 09 Mar 2019
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 80 110 0 27 Nov 2018
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Alina Kuznetsova H. Rom N. Alldrin J. Uijlings Ivan Krasin ... S. Popov Matteo Malloci Alexander Kolesnikov Tom Duerig V. Ferrari ObjD VLM 118 1,348 0 02 Nov 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 78 469 0 23 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 66 69 0 14 Sep 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 201 636 0 01 Jul 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 64 247 0 13 Apr 2018
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 82 344 0 30 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 724 0 24 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,719 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
DISCO Nets: DISsimilarity COefficient Networks Diane Bouchacourt P. Mudigonda Sebastian Nowozin BDL UD DRL 131 59 0 08 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 852 9,346 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 528 62,377 0 04 Jun 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 116 847 0 10 Feb 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 424 43,814 0 01 May 2014
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 221 687 0 25 Jul 2012
Contrasting Probabilistic Scoring Rules R. Machete 66 31 0 19 Dec 2011