COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation

4 October 2022

Papers citing "COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation"

9 / 9 papers shown

Title
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving Jules Sanchez Jean-Emmanuel Deschaud Franccois Goulette 29 1 0 28 Jan 2025
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation Xiang Xu Lingdong Kong Hui Shuai Qingshan Liu 3DPC 34 21 0 07 Dec 2023
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Yujin Chen Matthias Nießner Angela Dai 3DPC 88 57 0 06 Dec 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 102 177 0 27 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 151 239 0 08 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 194 501 0 15 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 106 235 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 128 618 0 21 Jul 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 227 3,029 0 09 Mar 2020