BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

9 March 2019

Ali Harakeh

Steven L. Waslander

Papers citing "BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors"

22 / 22 papers shown

Title
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 31 1 0 23 Sep 2024
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 15 16 0 03 Jul 2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti Michelle Karg Christian Wirth Azarm Nowzad S. Albayrak 22 3 0 15 Jun 2023
DDP: Diffusion Model for Dense Visual Prediction Yuanfeng Ji Zhe Chen Enze Xie Lanqing Hong Xihui Liu Zhaoqiang Liu Tong Lu Zhenguo Li Ping Luo DiffM VLM 38 130 0 30 Mar 2023
Conformal Prediction for Trustworthy Detection of Railway Signals Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 19 5 0 26 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 29 26 0 23 Jan 2023
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss Yannik Blei Nicolas Jourdan Nils Gählert OODD 14 3 0 01 Sep 2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation Yifan Zhang Qijian Zhang Zhiyu Zhu Junhui Hou Yixuan Yuan 3DPC 34 52 0 06 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 24 8 0 04 Jul 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
On the use of uncertainty in classifying Aedes Albopictus mosquitoes Gereziher W. Adhane Mohammad Mahdi Dehshibi David Masip 21 7 0 29 Oct 2021
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation Kürsat Petek Kshitij Sirohi Daniel Buscher Wolfram Burgard UQCV 46 24 0 20 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee N. Ahuja A. Cherian UQCV VGen BDL 29 17 0 06 Oct 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 42 13 0 23 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 46 21 0 20 Sep 2021
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection K. Deepshikha Sai Harsha Yelleni P. K. Srijith C.Krishna Mohan BDL UQCV 27 87 0 08 Aug 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 27 51 0 05 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 20 115 0 02 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 24 221 0 20 Nov 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood Abhinav Kumar Tim K. Marks Wenxuan Mou Ye Wang Michael J. Jones A. Cherian T. Koike-Akino Xiaoming Liu Chen Feng CVBM 3DV 12 150 0 06 Apr 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015