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

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

25 March 2023
Muhammad Akhtar Munir
Muhammad Haris Khan
Salman Khan
F. Khan
    UQCV
ArXivPDFHTML

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

10 / 10 papers shown
Title
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
Ashshak Sharifdeen
Muhammad Akhtar Munir
Sanoojan Baliah
Salman Khan
M. H. Khan
VLM
49
0
0
15 Mar 2025
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
38
1
0
02 Aug 2024
Cross Domain Object Detection via Multi-Granularity Confidence Alignment
  based Mean Teacher
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
49
0
0
10 Jul 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu
Kemal Oksuz
Jonathan Sadeghi
P. Dokania
39
4
0
30 May 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based
  Model
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model
Masahito Toba
Seiichi Uchida
Hideaki Hayashi
31
0
0
15 Apr 2024
Beyond Classification: Definition and Density-based Estimation of
  Calibration in Object Detection
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection
Teodora Popordanoska
A. Tiulpin
Matthew B. Blaschko
30
8
0
11 Dec 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object
  Detection
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
Kemal Oksuz
Selim Kuzucu
Tom Joy
P. Dokania
MoE
22
5
0
26 Sep 2023
A Theoretical and Practical Framework for Evaluating Uncertainty
  Calibration in Object Detection
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
13
1
0
01 Sep 2023
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCV
OOD
43
21
0
17 Jun 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
1