Mitigating Object Dependencies: Improving Point Cloud Self-Supervised
Learning through Object Exchange

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

11 April 2024

Tong Zhang

Sabine Susstrunk

Mathieu Salzmann

Papers citing "Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange"

7 / 7 papers shown

Title
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud Ayumu Saito Prachi Kudeshia Jiju Poovvancheri 3DPC 37 7 0 25 Apr 2024
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning Xiaoyang Wu Xin Wen Xihui Liu Hengshuang Zhao 3DPC 117 40 0 24 Mar 2023
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Yujin Chen Matthias Nießner Angela Dai 3DPC 105 58 0 06 Dec 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 161 154 0 05 Oct 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
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 243 968 0 13 Dec 2020
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