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Prediction Surface Uncertainty Quantification in Object Detection Models
  for Autonomous Driving

Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving

11 July 2021
Ferhat Ozgur Catak
T. Yue
Shaukat Ali
ArXivPDFHTML

Papers citing "Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving"

9 / 9 papers shown
Title
Assessing the Uncertainty and Robustness of Object Detection Models for
  Detecting Stickers on Laptops
Assessing the Uncertainty and Robustness of Object Detection Models for Detecting Stickers on Laptops
Chengjie Lu
Jiahui Wu
Shaukat Ali
Mikkel Labori Olsen
UQCV
32
3
0
22 Aug 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in
  Multi-Object Tracking
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking
Chang Won Lee
Steven L. Waslander
VOT
31
2
0
19 Feb 2024
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel
  Estimation in 5G Networks
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Ferhat Ozgur Catak
Marc Brittain
Murat Kuzlu
Christine Serres
UQCV
22
1
0
04 May 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep
  Neural Networks
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
Michael Weiss
Paolo Tonella
AI4CE
21
0
0
05 Apr 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDL
UQCV
30
11
0
14 Dec 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN
  Supervision Testing
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
Michael Weiss
A. Gómez
Paolo Tonella
AAML
18
6
0
21 Jul 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
29
58
0
03 Nov 2021
An Uncertainty-aware Loss Function for Training Neural Networks with
  Calibrated Predictions
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
Afshar Shamsi
Hamzeh Asgharnezhad
AmirReza Tajally
Saeid Nahavandi
Henry Leung
UQCV
46
6
0
07 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
1