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BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds

Corentin Sautier
Gilles Puy
Alexandre Boulch
Renaud Marlet
Vincent Lepetit
    3DPC
ArXiv (abs)PDFHTML

Papers citing "BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds"

3 / 3 papers shown
Title
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
3DPC
156
1
0
30 Oct 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Yifan Zhang
Siyu Ren
Junhui Hou
Jinjian Wu
Guangming Shi
Guangming Shi
SSL3DPC
293
3
0
23 Jan 2024
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
346
4,109
0
17 Jun 2020

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