SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds

13 September 2022

Papers citing "SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds"

6 / 6 papers shown

Title
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models You-Chen Liu Lingdong Kong Jun Cen Runnan Chen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 32 83 0 15 Jun 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey Ben Fei Weidong Yang Liwen Liu Tian-jian Luo Rui Zhang Yixuan Li Ying He 3DPC 23 17 0 08 May 2023
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Yujin Chen Matthias Nießner Angela Dai 3DPC 105 58 0 06 Dec 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 124 268 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
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016