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Unifying Local and Global Multimodal Features for Place Recognition in
  Aliased and Low-Texture Environments

Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments

20 March 2024
Alberto García-Hernández
Riccardo Giubilato
Klaus H. Strobl
Javier Civera
Rudolph Triebel
ArXivPDFHTML

Papers citing "Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments"

2 / 2 papers shown
Title
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for
  Place Recognition
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Stephen Hausler
Sourav Garg
Ming Xu
Michael Milford
Tobias Fischer
39
328
0
02 Mar 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
1