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Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
3 July 2023
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
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Papers citing
"Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration"
10 / 10 papers shown
Title
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
73
0
0
06 Dec 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
34
3
0
26 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
39
1
0
30 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
40
1
0
02 Aug 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu
Kemal Oksuz
Jonathan Sadeghi
P. Dokania
39
4
0
30 May 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
50
5
0
25 Mar 2024
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
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
Dexter Neo
Stefan Winkler
Tsuhan Chen
OODD
22
3
0
26 Oct 2023
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
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
13
1
0
01 Sep 2023
1