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Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends

Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends

5 January 2021
Q. Rahman
Peter Corke
Feras Dayoub
    OOD
ArXivPDFHTML

Papers citing "Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends"

4 / 54 papers shown
Title
Place Categorization and Semantic Mapping on a Mobile Robot
Place Categorization and Semantic Mapping on a Mobile Robot
Niko Sünderhauf
Feras Dayoub
Sean McMahon
Ben Talbot
R. Schulz
Peter Corke
G. Wyeth
B. Upcroft
Michael Milford
33
129
0
09 Jul 2015
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
821
9,318
0
06 Jun 2015
Mirror, mirror on the wall, tell me, is the error small?
Mirror, mirror on the wall, tell me, is the error small?
Heng Yang
Ioannis Patras
57
50
0
21 Jan 2015
A tutorial on conformal prediction
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
452
1,144
0
21 Jun 2007
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