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Self-Supervised Radio-Visual Representation Learning for 6G Sensing
v1v2 (latest)

Self-Supervised Radio-Visual Representation Learning for 6G Sensing

1 November 2021
Mohammed Alloulah
Akash Deep Singh
Maximilian Arnold
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Radio-Visual Representation Learning for 6G Sensing"

3 / 3 papers shown
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
Yuan Luo
Rudolf Hoffmann
Yan Xia
Olaf Wysocki
Benedikt Schwab
T. H. Kolbe
Zorah Lähner
375
3
0
16 Apr 2025
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual
  Correspondence
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual CorrespondenceComputer Vision and Pattern Recognition (CVPR), 2022
Mohammed Alloulah
Maximilian Arnold
SSL
346
3
0
13 Jun 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,706
0
17 Jun 2020
1
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