Bridging Precision and Confidence: A Train-Time Loss for Calibrating
Object Detection

Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

Computer Vision and Pattern Recognition (CVPR), 2023

25 March 2023

Muhammad Akhtar Munir

Muhammad Haris Khan

Salman Khan

Fahad Shahbaz Khan

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Papers citing "Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection"

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Title
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025 Ashshak Sharifdeen Muhammad Akhtar Munir Sanoojan Baliah Salman Khan M. H. Khan VLM 174 8 0 15 Mar 2025
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 283 1 0 02 Aug 2024
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher Jiangming Chen Li Liu Wanxia Deng Zhen Liu Yu Liu Yingmei Wei Yongxiang Liu 204 1 0 10 Jul 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 220 8 0 30 May 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 140 0 0 15 Apr 2024
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 245 8 0 11 Dec 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 466 13 0 26 Sep 2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection Pedro Conde Rui L. Lopes C. Premebida UQCV 249 2 0 01 Sep 2023
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 295 28 0 17 Jun 2021