Multivariate Confidence Calibration for Object Detection

28 April 2020

Papers citing "Multivariate Confidence Calibration for Object Detection"

50 / 78 papers shown

Title
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies Terrance Liu Shuyi Wang Daniel Preotiuc-Pietro Yash Chandarana Chirag Gupta 24 1 0 27 May 2025
Plasma State Monitoring and Disruption Characterization using Multimodal VAEs Y. Poels Alessandro Pau Christian Donner Giulio Romanelli Olivier Sauter Cristina Venturini Vlado Menkovski TCV Team WPTE team 69 0 0 24 Apr 2025
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis Sabeen Ahmed Nathan Parker Margaret Park Daniel Jeong Lauren Peres ... Jennifer B. Permuth Erin Siegel M. Schabath Yasin Yilmaz Ghulam Rasool 90 0 0 19 Mar 2025
I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps Y. Cai Ziqi Zhang Mengyu Yao Junlin Liu Xiaoke Zhao ... Ruoyu Li Zhe Li Xiangqun Chen Yao Guo Ding Li 66 0 0 13 Mar 2025
An Efficient Plugin Method for Metric Optimization of Black-Box Models Siddartha Devic Nurendra Choudhary Anirudh Srinivasan Sahika Genc Branislav Kveton Gaurush Hiranandani 83 0 0 03 Mar 2025
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection Boyong He Yuxiang Ji Qianwen Ye Zhuoyue Tan Liaoni Wu DiffM 160 0 0 03 Mar 2025
Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods Y. Poels Cristina Venturini Alessandro Pau Olivier Sauter Vlado Menkovski TCV Team WPTE team 156 2 0 24 Feb 2025
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection Zengran Wang Yanan Zhang Jiaxin Chen Di Huang 94 0 0 26 Jan 2025
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains Fardad Dadboud Hamid Azad Varun Mehta M. Bolic Iraj Mntegh 123 0 0 06 Dec 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 82 1 0 05 Nov 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 475 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 84 3 0 26 Sep 2024
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation Tingting Yang Liang Xiao Yizhe Zhang 74 0 0 25 Sep 2024
UTrack: Multi-Object Tracking with Uncertain Detections Edgardo Solano-Carrillo Felix Sattler Antje Alex Alexander Klein Bruno Pereira Costa Ángel Bueno Rodríguez Jannis Stoppe VOT 110 1 0 30 Aug 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 89 5 0 30 May 2024
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment M. S. Danish Muhammad Haris Khan Muhammad Akhtar Munir M. Sarfraz Mohsen Ali ObjD 97 10 0 23 May 2024
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 73 2 0 22 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 94 4 0 28 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 86 1 0 23 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 123 7 0 25 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction Alexander Timans C. Straehle K. Sakmann Eric T. Nalisnick 81 10 0 12 Mar 2024
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 77 6 0 11 Dec 2023
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 113 8 0 11 Dec 2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali ObjD 99 8 0 08 Nov 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 90 9 0 06 Nov 2023
GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data David Schinagl Georg Krispel Christian Fruhwirth-Reisinger Horst Possegger Horst Bischof 3DPC 71 4 0 31 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 73 0 0 10 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 65 11 0 04 Oct 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 127 7 0 26 Sep 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 53 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 83 1 0 01 Sep 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 82 16 0 03 Jul 2023
Multiclass Confidence and Localization Calibration for Object Detection Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 95 15 0 14 Jun 2023
On the Limitations of Temperature Scaling for Distributions with Overlaps Muthuraman Chidambaram Rong Ge UQCV 91 4 0 01 Jun 2023
Learning for Transductive Threshold Calibration in Open-World Recognition Qin Zhang Dongsheng An Tianjun Xiao Tong He Qingming Tang Ying Nian Wu Joseph Tighe Yifan Xing Stefano Soatto 83 0 0 19 May 2023
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer Hideaki Hayashi 84 4 0 10 May 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 67 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 86 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 56 6 0 18 Mar 2023
Calibrated Teacher for Sparsely Annotated Object Detection Haohan Wang Liang Liu Boshen Zhang Jiangning Zhang Wuhao Zhang Zhenye Gan Yabiao Wang Chengjie Wang Haoqian Wang 80 11 0 14 Mar 2023
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification Shreyas Bhat Brahmavar R. Rajesh T. Dash Lovekesh Vig T. Verlekar Mahmudul Hasan Tariq Mahmood Khan Erik H. W. Meijering A. Srinivasan 18 2 0 04 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 Lovekesh Vig A. Srinivasan 36 4 0 20 Feb 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning Prashant Shivaram Bhat Bahram Zonooz Elahe Arani CLL 36 26 0 14 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 61 1 0 03 Feb 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 62 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 97 9 0 16 Nov 2022
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US Gil Semo Dor Bernsohn Ben Hagag Gila Hayat Joel Niklaus AILaw ELM 95 20 0 01 Nov 2022
A Review of Uncertainty Calibration in Pretrained Object Detectors Denis Huseljic M. Herde Mehmet Muejde Bernhard Sick UQCV 31 0 0 06 Oct 2022
TeST: Test-time Self-Training under Distribution Shift Samarth Sinha Peter V. Gehler Francesco Locatello Bernt Schiele TTA OOD 113 25 0 23 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 55 23 0 15 Sep 2022