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Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

26 October 2022
Julius Ott
Lorenzo Servadei
Gianfranco Mauro
Thomas Stadelmayer
Avik Santra
Robert Wille
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking"

6 / 6 papers shown
Title
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar
  Data Processing
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
Max Sponner
Julius Ott
Lorenzo Servadei
Bernd Waschneck
Robert Wille
Akash Kumar
18
2
0
11 Sep 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
38
3
0
24 Jul 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW
  Radar
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
11
7
0
27 Feb 2023
Label-Aware Ranked Loss for robust People Counting using Automotive
  in-cabin Radar
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar
Lorenzo Servadei
Huawei Sun
Julius Ott
Michael Stephan
Souvik Hazra
Thomas Stadelmayer
Daniela Sanchez Lopera
Robert Wille
Avik Santra
37
11
0
12 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
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
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