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20222026
most citedImage-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

2 citations · 3 across the 11 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023

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

Corentin Sautier, Gilles Puy, Alexandre Boulch +2

We present a surprisingly simple and efficient method for self-supervision of 3D backbone on automotive Lidar point clouds. We design a contrastive loss between features of Lidar s…

cs.CV2023

Three Pillars improving Vision Foundation Model Distillation for Lidar

Gilles Puy, Spyros Gidaris, Alexandre Boulch +5

Self-supervised image backbones can be used to address complex 2D tasks (e.g., semantic segmentation, object discovery) very efficiently and with little or no downstream supervisio…