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Multiclass Confidence and Localization Calibration for Object Detection

Multiclass Confidence and Localization Calibration for Object Detection

14 June 2023
Bimsara Pathiraja
Malitha Gunawardhana
M. H. Khan
    UQCV
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Multiclass Confidence and Localization Calibration for Object Detection"

9 / 9 papers shown
Title
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detection
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
480
0
0
15 Oct 2024
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
Xinyu Liu
Shuyu Shen
Boyan Li
Peixian Ma
Runzhi Jiang
Yuxin Zhang
Ju Fan
Guoliang Li
Nan Tang
Yuyu Luo
78
32
0
09 Aug 2024
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
94
1
0
02 Aug 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
89
5
0
30 May 2024
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
Quang-Huy Nguyen
Jin Peng Zhou
Zhenzhen Liu
Khanh-Huyen Bui
Kilian Q. Weinberger
Wei-Lun Chao
Dung D. Le
84
1
0
05 Feb 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
113
8
0
11 Dec 2023
On the Calibration of Human Pose Estimation
On the Calibration of Human Pose Estimation
Kerui Gu
Rongyu Chen
Angela Yao
183
8
0
28 Nov 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
143
7
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
87
1
0
01 Sep 2023
1