Towards Improving Calibration in Object Detection Under Domain Shift

15 September 2022

Muhammad Akhtar Munir

Papers citing "Towards Improving Calibration in Object Detection Under Domain Shift"

38 / 38 papers shown

Title
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning Xu Yin Fei Pan G. An Yuchi Huo Zixuan Xie Sung-eui Yoon BDL VLM 114 1 0 02 Jul 2024
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 83 45 0 25 Mar 2022
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 66 110 0 26 Oct 2021
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali ObjD 52 53 0 01 Oct 2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition Mobarakol Islam Lalithkumar Seenivasan Hongliang Ren Ben Glocker 56 19 0 11 Sep 2021
Post-hoc Uncertainty Calibration for Domain Drift Scenarios Christian Tomani Sebastian Gruber Muhammed Ebrar Erdem Daniel Cremers Florian Buettner UQCV 149 66 0 20 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 230 163 0 14 Dec 2020
Stationary Activations for Uncertainty Calibration in Deep Learning Lassi Meronen Christabella Irwanto Arno Solin UQCV BDL 29 19 0 19 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 200 5,046 0 08 Oct 2020
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
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector Cheng-Chun Hsu Yi-Hsuan Tsai Yen-Yu Lin Ming-Hsuan Yang ObjD 58 203 0 19 Aug 2020
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks Shreyas Padhy Zachary Nado Jie Jessie Ren J. Liu Jasper Snoek Balaji Lakshminarayanan UQCV 54 47 0 10 Jul 2020
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 31 112 0 28 Apr 2020
On Calibration of Mixup Training for Deep Neural Networks Juan Maroñas D. Ramos-Castro Roberto Paredes Palacios UQCV 43 6 0 22 Mar 2020
Exploring Categorical Regularization for Domain Adaptive Object Detection Chang-Dong Xu Xingjie Zhao Xin Jin Xiu-Shen Wei OOD ObjD 172 287 0 20 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
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 65 380 0 28 Oct 2019
A Survey of Deep Learning Techniques for Autonomous Driving Sorin Grigorescu Bogdan Trasnea Tiberiu T. Cocias G. Macesanu 3DPC 76 1,396 0 17 Oct 2019
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier UQCV 44 57 0 30 Sep 2019
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques Byeongmoon Ji Hyemin Jung Jihyeun Yoon Kyungyul Kim Younghak Shin UQCV 49 25 0 30 Aug 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 51 118 0 10 Jun 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 179 1,938 0 06 Jun 2019
FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 117 4,997 0 02 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 158 3,423 0 28 Mar 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression S. Hamid Rezatofighi Deyuan Li JunYoung Gwak Amir Sadeghian Ian Reid Silvio Savarese 145 4,143 0 25 Feb 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 159 557 0 13 Dec 2018
Strong-Weak Distribution Alignment for Adaptive Object Detection Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko ObjD 75 613 0 12 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 173 1,476 0 11 Dec 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 77 586 0 13 Feb 2018
Semantic Foggy Scene Understanding with Synthetic Data Daniel Gehrig Dengxin Dai Luc Van Gool 91 1,101 0 25 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 280 5,812 0 14 Jun 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 155 1,137 0 23 Jan 2017
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? Matthew Johnson-Roberson Charlie Barto Rounak Mehta S. N. Sridhar Karl Rosaen Ram Vasudevan 98 617 0 06 Oct 2016
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 1.0K 11,587 0 06 Apr 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 804 27,303 0 02 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 736 9,290 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 478 62,122 0 04 Jun 2015
Efficient Object Localization Using Convolutional Networks Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun C. Bregler 3DH 165 1,352 0 16 Nov 2014