Estimating and Evaluating Regression Predictive Uncertainty in Deep
Object Detectors

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

13 January 2021

Ali Harakeh

Steven L. Waslander

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

14 / 14 papers shown

Title
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
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 22 4 0 24 Nov 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time Edward W. Ayers Jonathan Sadeghi John Redford Romain Mueller P. Dokania 25 1 0 23 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 30 4 0 17 Sep 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 45 53 0 16 Sep 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection Matthew A. Pitropov Chengjie Huang Vahdat Abdelzad Krzysztof Czarnecki Steven Waslander 3DPC 19 3 0 01 Jun 2022
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization Lorenzo Pacchiardi Ritabrata Dutta TPM BDL UQCV GAN 19 18 0 31 May 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 32 90 0 08 Mar 2022
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization Lorenzo Pacchiardi Rilwan A. Adewoyin P. Dueben Ritabrata Dutta AI4TS 13 21 0 15 Dec 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 24 222 0 20 Nov 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 9,136 0 06 Jun 2015