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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

10 January 2022
M. Usman Maqbool Bhutta
Yuxiang Sun
Darwin Lau
Meilin Liu
ArXivPDFHTML

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

2 / 2 papers shown
Title
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 Priors
Joshua Knights
Stephen Hausler
S. Sridharan
Clinton Fookes
Peyman Moghadam
19
10
0
09 Aug 2023
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
156
789
0
24 Nov 2014
1