Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

6 October 2022

Papers citing "Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding"

7 / 7 papers shown

Title
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning Bin Ren Guofeng Mei D. Paudel Weijie Wang Yawei Li Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 3DPC 36 7 0 08 Jul 2024
Novel class discovery meets foundation models for 3D semantic segmentation Luigi Riz Cristiano Saltori Yiming Wang Elisa Ricci Fabio Poiesi 3DPC 20 0 0 06 Dec 2023
Novel Class Discovery for 3D Point Cloud Semantic Segmentation Luigi Riz Cristiano Saltori Elisa Ricci Fabio Poiesi 3DPC 13 19 0 21 Mar 2023
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 136 618 0 21 Jul 2020
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences Xiaoshui Huang Guofeng Mei Jian Andrew Zhang 3DPC 56 242 0 03 May 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 109 193 0 18 Oct 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016