Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds

2 November 2022

Papers citing "Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds"

9 / 9 papers shown

Title
Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification Naiwen Hu Haozhe Cheng Yifan Xie Pengcheng Shi Jihua Zhu 3DPC 24 0 0 24 Sep 2024
Self-Supervised Learning for Point Clouds Data: A Survey Changyu Zeng W. Wang A. Nguyen Yutao Yue 3DPC 28 0 0 09 May 2023
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 120 268 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 139 620 0 21 Jul 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 109 193 0 18 Oct 2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 115 269 0 09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 766 0 30 Mar 2018
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 14,047 0 02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,939 0 24 Oct 2016