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Reducing Overconfidence Predictions for Autonomous Driving Perception

Reducing Overconfidence Predictions for Autonomous Driving Perception

16 February 2022
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
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Papers citing "Reducing Overconfidence Predictions for Autonomous Driving Perception"

7 / 7 papers shown
Title
Fine-Grained Uncertainty Quantification via Collisions
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
S. Adiga
Ravi Tandon
69
0
0
18 Nov 2024
Inherent Diverse Redundant Safety Mechanisms for AI-based Software
  Elements in Automotive Applications
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Mandar Pitale
Alireza Abbaspour
Devesh Upadhyay
35
4
0
13 Feb 2024
Reducing the False Positive Rate Using Bayesian Inference in Autonomous
  Driving Perception
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception
Gledson Melotti
Johann J. S. Bastos
Bruno L. S. da Silva
Tiago Zanotelli
C. Premebida
11
0
0
09 Sep 2023
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
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
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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