Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection

11 December 2023

Matthew B. Blaschko

Papers citing "Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection"

22 / 22 papers shown

Title
A Consistent and Differentiable Lp Canonical Calibration Error Estimator Teodora Popordanoska Raphael Sayer Matthew B. Blaschko UQCV 52 34 0 13 Oct 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 21 23 0 15 Sep 2022
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation Feng Li Hao Zhang Hu-Sheng Xu Siyi Liu Lei Zhang L. Ni H. Shum ISeg 113 381 0 06 Jun 2022
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 65 89 0 30 Jul 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 55 35 0 10 May 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh Steven L. Waslander UQCV 66 41 0 13 Jan 2021
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification G. Liang Yu Zhang Xiaoqin Wang Nathan Jacobs UQCV 58 61 0 09 Sep 2020
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 31 112 0 28 Apr 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 66 224 0 16 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 81 459 0 21 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 75 318 0 15 Feb 2020
Calibration tests in multi-class classification: A unifying framework David Widmann Fredrik Lindsten Dave Zachariah 75 92 0 24 Oct 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 141 353 0 23 Sep 2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever Jacob Lambert Alexander Carballo K. Takeda 83 1,370 0 12 Jun 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 167 1,938 0 06 Jun 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 159 1,688 0 06 Jun 2019
FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 114 4,997 0 02 Apr 2019
Evaluating model calibration in classification Juozas Vaicenavicius David Widmann Carl R. Andersson Fredrik Lindsten Jacob Roll Thomas B. Schon UQCV 127 198 0 19 Feb 2019
Localization Recall Precision (LRP): A New Performance Metric for Object Detection Kemal Oksuz Baris Can Cam Emre Akbas Sinan Kalkan ObjD 57 110 0 04 Jul 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 105 21,386 0 08 Apr 2018
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 921 11,587 0 06 Apr 2016
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 369 43,524 0 01 May 2014