Multivariate Confidence Calibration for Object Detection

28 April 2020

Papers citing "Multivariate Confidence Calibration for Object Detection"

36 / 36 papers shown

Title
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection Zengran Wang Yanan Zhang Jiaxin Chen Di Huang 47 0 0 26 Jan 2025
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 44 1 0 05 Nov 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 225 0 0 15 Oct 2024
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning Song Wang Zhongdao Wang Jiawei Yu Wentong Li Bailan Feng Junbo Chen Jianke Zhu UQCV 46 3 0 26 Sep 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 50 2 0 28 Apr 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 53 5 0 25 Mar 2024
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 38 0 0 10 Oct 2023
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration Johannes Gilg Torben Teepe Fabian Herzog Philipp Wolters Gerhard Rigoll 20 1 0 06 Sep 2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection Pedro Conde Rui L. Lopes C. Premebida UQCV 18 1 0 01 Sep 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 28 16 0 03 Jul 2023
On the Limitations of Temperature Scaling for Distributions with Overlaps Muthuraman Chidambaram Rong Ge UQCV 42 4 0 01 Jun 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 32 7 0 11 Apr 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan Fahad Shahbaz Khan UQCV 55 15 0 25 Mar 2023
Learn, Unlearn and Relearn: An Online Learning Paradigm for Deep Neural Networks V. Ramkumar Elahe Arani Bahram Zonooz MU OnRL CLL 39 5 0 18 Mar 2023
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification S. Chitnis Sidong Liu T. Dash T. Verlekar A. Di Ieva S. Berkovsky L. Vig A. Srinivasan 24 4 0 20 Feb 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning Prashant Shivaram Bhat Bahram Zonooz Elahe Arani CLL 23 25 0 14 Feb 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 40 0 0 11 Jan 2023
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 29 8 0 16 Nov 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Consistency is the key to further mitigating catastrophic forgetting in continual learning Prashant Shivaram Bhat Bahram Zonooz Elahe Arani CLL 34 16 0 11 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 39 8 0 04 Jul 2022
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future Jan-Christoph Klie Bonnie Webber Iryna Gurevych 42 43 0 05 Jun 2022
Evaluating Uncertainty Calibration for Open-Set Recognition Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 35 1 0 15 May 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss Yantao Gong Cao Liu Fan Yang Xunliang Cai Guanglu Wan Jiansong Chen Weipeng Zhang Houfeng Wang UQCV 24 2 0 17 Mar 2022
Confidence Calibration for Object Detection and Segmentation Fabian Küppers Anselm Haselhoff Jan Kronenberger Jonas Schneider UQCV 27 4 0 25 Feb 2022
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 21 4 0 03 Dec 2021
Post-hoc Models for Performance Estimation of Machine Learning Inference Xuechen Zhang Samet Oymak Jiasi Chen UQCV 23 4 0 06 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 17 53 0 01 Oct 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 24 8 0 21 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 24 18 0 16 Sep 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Kira Maag UQCV 21 6 0 28 Jun 2021
Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations Arghya Datta S. Joshua Swamidass 21 8 0 01 Jun 2021
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 22 12 0 14 Dec 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 29 24 0 04 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015