Gradient-Based Quantification of Epistemic Uncertainty for Deep Object
Detectors

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

9 July 2021

Tobias Riedlinger

Matthias Rottmann

Marius Schubert

Hanno Gottschalk

Papers citing "Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors"

18 / 18 papers shown

Title
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 41 12 0 14 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,355 0 08 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 99 25 0 04 Oct 2020
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 31 112 0 28 Apr 2020
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk 31 16 0 16 Dec 2019
Detection of False Positive and False Negative Samples in Semantic Segmentation Matthias Rottmann Kira Maag Robin Shing Moon Chan Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 55 23 0 08 Dec 2019
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 69 34 0 12 Nov 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 222 1,410 0 21 Oct 2019
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 99 51 0 17 Oct 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 54 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 71 399 0 09 Apr 2019
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 74 468 0 23 Sep 2018
Acquisition of Localization Confidence for Accurate Object Detection Borui Jiang Ruixuan Luo Jiayuan Mao Tete Xiao Yuning Jiang ObjD 50 853 0 30 Jul 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient Information Philipp Oberdiek Matthias Rottmann Hanno Gottschalk UQCV 56 64 0 22 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 183 914 0 28 Feb 2018
Cascade R-CNN: Delving into High Quality Object Detection Zhaowei Cai Nuno Vasconcelos ObjD 136 4,924 0 03 Dec 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 352 4,704 0 15 Mar 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 268 14,912 1 21 Dec 2013