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Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and
  the CARING Models

Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models

2 January 2021
Alina Roitberg
Monica Haurilet
Manuel Martínez
Rainer Stiefelhagen
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models"

7 / 7 papers shown
Title
Driver Activity Classification Using Generalizable Representations from
  Vision-Language Models
Driver Activity Classification Using Generalizable Representations from Vision-Language Models
Ross Greer
M. V. Andersen
Andreas Møgelmose
Mohan M. Trivedi
34
3
0
23 Apr 2024
Quantized Distillation: Optimizing Driver Activity Recognition Models
  for Resource-Constrained Environments
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments
Calvin Tanama
Kunyu Peng
Zdravko Marinov
Rainer Stiefelhagen
Alina Roitberg
12
1
0
10 Nov 2023
Confidence estimation of classification based on the distribution of the
  neural network output layer
Confidence estimation of classification based on the distribution of the neural network output layer
A. Taha
Leonhard Hennig
Petr Knoth
UQCV
29
12
0
14 Oct 2022
Is my Driver Observation Model Overconfident? Input-guided Calibration
  Networks for Reliable and Interpretable Confidence Estimates
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates
Alina Roitberg
Kunyu Peng
David Schneider
Kailun Yang
Marios Koulakis
Manuel Martínez
Rainer Stiefelhagen
UQCV
22
9
0
10 Apr 2022
Should I take a walk? Estimating Energy Expenditure from Video Data
Should I take a walk? Estimating Energy Expenditure from Video Data
Kunyu Peng
Alina Roitberg
Kailun Yang
Jiaming Zhang
Rainer Stiefelhagen
11
4
0
01 Feb 2022
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
270
5,660
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
261
9,134
0
06 Jun 2015
1