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

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

26 October 2023

Corentin Sautier

Alexandre Boulch

Vincent Lepetit

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

19 / 19 papers shown

Title
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds Barza Nisar Steven L. Waslander 3DPC ViT 58 0 0 18 Mar 2025
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation Ziliang Miao Runjian Chen Yixi Cai Buwei He Wenquan Zhao Wenqi Shao Bo-Wen Zhang Fu Zhang 3DPC 54 0 0 10 Mar 2025
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters Julia Hindel Rohit Mohan Jelena Bratulić Daniele Cattaneo Thomas Brox Abhinav Valada 3DPC 79 0 0 05 Mar 2025
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 55 1 0 30 Oct 2024
UNIT: Unsupervised Online Instance Segmentation through Time Corentin Sautier Gilles Puy Alexandre Boulch Renaud Marlet Vincent Lepetit 32 1 0 12 Sep 2024
MILAN: Milli-Annotations for Lidar Semantic Segmentation Nermin Samet Gilles Puy Oriane Siméoni Renaud Marlet 3DPC 32 0 0 22 Jul 2024
4D Contrastive Superflows are Dense 3D Representation Learners Xiang Xu Lingdong Kong Hui Shuai Wenwei Zhang Liang Pan Kai Chen Ziwei Liu Qingshan Liu 3DPC 47 7 0 08 Jul 2024
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models Jiahao Sun Chunmei Qing Xiang Xu Lingdong Kong You-Chen Liu ... Zeqi Xiao Runnan Chen Tai Wang Wenwei Zhang Kai-xiang Chen 3DV 47 6 0 23 May 2024
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception Haoming Chen Zhizhong Zhang Yanyun Qu Ruixin Zhang Xin Tan Yuan Xie 45 1 0 12 May 2024
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 SSL 3DPC 90 3 0 23 Jan 2024
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities Xu Yan Haiming Zhang Yingjie Cai Jingming Guo Weichao Qiu ... Lihui Jiang Wei Zhang Hongbo Zhang Dengxin Dai Bingbing Liu 56 17 0 16 Jan 2024
Prospective Role of Foundation Models in Advancing Autonomous Vehicles Jianhua Wu B. Gao Jincheng Gao Jianhao Yu Hongqing Chu ... Xun Gong Yi Chang H. E. Tseng Hong Chen Jie Chen 42 3 0 08 Dec 2023
Three Pillars improving Vision Foundation Model Distillation for Lidar Gilles Puy Spyros Gidaris Alexandre Boulch Oriane Siméoni Corentin Sautier Patrick Pérez Andrei Bursuc Renaud Marlet 104 18 0 26 Oct 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 178 244 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor Hyungtae Lim Mi-Suk Oh Hyun Myung 46 112 0 12 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 332 5,785 0 29 Apr 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 0 07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020