Spatiotemporal Self-supervised Learning for Point Clouds in the Wild

Spatiotemporal Self-supervised Learning for Point Clouds in the Wild

28 March 2023

Tong Zhang

Sabine Süsstrunk

Mathieu Salzmann

Papers citing "Spatiotemporal Self-supervised Learning for Point Clouds in the Wild"

7 / 7 papers shown

Title
MILAN: Milli-Annotations for Lidar Semantic Segmentation Nermin Samet Gilles Puy Oriane Siméoni Renaud Marlet 3DPC 27 0 0 22 Jul 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 74 3 0 23 Jan 2024
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 40 28 0 25 Apr 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng Ryan Razani E. Taghavi Enxu Li Bingbing Liu 3DPC 153 240 0 08 Feb 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 120 267 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 139 620 0 21 Jul 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020