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Improving Uncertainty of Deep Learning-based Object Classification on
  Radar Spectra using Label Smoothing

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing

27 September 2021
Kanil Patel
William H. Beluch
K. Rambach
Michael Pfeiffer
B. Yang
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing"

4 / 4 papers shown
Title
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
124
0
0
29 Mar 2024
Radars for Autonomous Driving: A Review of Deep Learning Methods and
  Challenges
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges
Arvind Srivastav
S. Mandal
174
39
0
15 Jun 2023
Calibrating the Rigged Lottery: Making All Tickets Reliable
Calibrating the Rigged Lottery: Making All Tickets Reliable
Bowen Lei
Ruqi Zhang
Dongkuan Xu
Bani Mallick
UQCV
127
8
0
18 Feb 2023
A recurrent CNN for online object detection on raw radar frames
A recurrent CNN for online object detection on raw radar frames
Colin Decourt
R. V. Rullen
D. Salle
Thomas Oberlin
155
16
0
21 Dec 2022
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