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Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection

4 July 2022

Papers citing "Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection"

22 / 22 papers shown

Title
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 82 5 0 28 Sep 2021
From Black-box to White-box: Examining Confidence Calibration under different Conditions Franziska Schwaiger Maximilian Henne Fabian Küppers Felippe Schmoeller da Roza Karsten Roscher Anselm Haselhoff 67 10 0 08 Jan 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 81 226 0 20 Nov 2020
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung Willie Neiswanger I. Char J. Schneider UQCV 169 88 0 18 Nov 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy Peng Cui Wenbo Hu Jun Zhu UQCV 55 48 0 18 Jun 2020
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 31 112 0 28 Apr 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 167 356 0 23 Sep 2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks Dan Levi Liran Gispan Niv Giladi Ethan Fetaya UQCV 82 144 0 28 May 2019
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 184 111 0 15 May 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 59 119 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
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob R. Gardner Geoff Pleiss D. Bindel Kilian Q. Weinberger A. Wilson GP 136 1,100 0 28 Sep 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 74 469 0 23 Sep 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 196 633 0 01 Jul 2018
Fast calibrated additive quantile regression Matteo Fasiolo S. Wood Margaux Zaffran Raphael Nedellec Y. Goude 42 197 0 11 Jul 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,833 0 14 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,294 0 04 Jun 2015
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 75 644 0 07 Nov 2014
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 413 43,667 0 01 May 2014
Estimating conditional quantiles with the help of the pinball loss Ingo Steinwart A. Christmann 308 244 0 10 Feb 2011