Building a Strong Pre-Training Baseline for Universal 3D Large-Scale
Perception

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception

12 May 2024

Yanyun Qu

Yuan Xie

Papers citing "Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception"

7 / 7 papers shown

Title
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving Jiale Li Hang Dai Hao Han Yong Ding 3DPC 35 68 0 15 Mar 2023
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video Runyang Feng Yixing Gao Xueqi Ma Tze Ho Elden Tse H. Chang 3DH 21 20 0 15 Mar 2023
Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen Bingchen Zhao Anlin Zheng X. Zhang Xiaojuan Qi SSL 101 71 0 30 May 2022
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 120 235 0 07 Jan 2021
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds Jingyu Gong Jiachen Xu Xin Tan Jie Zhou Yanyun Qu Yuan Xie Lizhuang Ma 3DPC 24 36 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 136 618 0 21 Jul 2020
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 243 1,817 0 18 Aug 2016