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Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place
  Recognition

Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition

IEEE Robotics and Automation Letters (RA-L), 2022
10 January 2022
M. Usman Maqbool Bhutta
Yuxiang Sun
Darwin Lau
Meilin Liu
ArXiv (abs)PDFHTML

Papers citing "Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition"

1 / 1 papers shown
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place
  Recognition Using Geometric Priors
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric PriorsIEEE Robotics and Automation Letters (RA-L), 2023
Joshua Knights
Stephen Hausler
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
461
10
0
09 Aug 2023
1
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