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Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point
  Clouds with Masked Occupancy Autoencoders

Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

20 June 2022
Chen Min
Xinli Xu
Dawei Zhao
Liang Xiao
Yiming Nie
Bin Dai
    3DPC
ArXivPDFHTML

Papers citing "Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders"

17 / 17 papers shown
Title
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
Barza Nisar
Steven L. Waslander
3DPC
ViT
58
0
0
18 Mar 2025
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
Runjian Chen
H. Zhang
Avinash Ravichandran
Wenqi Shao
Alex Wong
Ping Luo
Ping Luo
3DPC
83
0
0
04 Dec 2024
Progressive Multi-Modal Fusion for Robust 3D Object Detection
Progressive Multi-Modal Fusion for Robust 3D Object Detection
Rohit Mohan
Daniele Cattaneo
Florian Drews
Abhinav Valada
3DPC
43
3
0
09 Oct 2024
MILAN: Milli-Annotations for Lidar Semantic Segmentation
MILAN: Milli-Annotations for Lidar Semantic Segmentation
Nermin Samet
Gilles Puy
Oriane Siméoni
Renaud Marlet
3DPC
32
0
0
22 Jul 2024
Sense Less, Generate More: Pre-training LiDAR Perception with Masked
  Autoencoders for Ultra-Efficient 3D Sensing
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
Sina Tayebati
Theja Tulabandhula
A. R. Trivedi
41
5
0
12 Jun 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local
  Reference Frames for Rotation-invariant 3D Point Set Analysis
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis
Takahiko Furuya
3DPC
43
2
0
01 Mar 2024
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point
  Clouds
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
Corentin Sautier
Gilles Puy
Alexandre Boulch
Renaud Marlet
Vincent Lepetit
3DPC
20
15
0
26 Oct 2023
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan
Chenyang Ma
Tianle Chen
Cheng Perng Phoo
Katie Z Luo
Yurong You
Mark E. Campbell
Kilian Q. Weinberger
B. Hariharan
Wei-Lun Chao
3DPC
25
4
0
23 Oct 2023
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based
  Self-Supervised Pre-Training
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
Runsen Xu
Tai Wang
Wenwei Zhang
Runjian Chen
Jinkun Cao
Jiangmiao Pang
Dahua Lin
3DPC
39
29
0
23 Mar 2023
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
Bo-Wen Zhang
Jiakang Yuan
Botian Shi
Tao Chen
Yikang Li
Yu Qiao
3DPC
42
38
0
13 Mar 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
178
244
0
28 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Deep Instance Segmentation with Automotive Radar Detection Points
Deep Instance Segmentation with Automotive Radar Detection Points
Jianan Liu
Weiyi Xiong
Liping Bai
Yu Xia
Tao Huang
Wanli Ouyang
Bing Zhu
51
53
0
05 Oct 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
139
407
0
31 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
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
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
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
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
14,103
0
02 Dec 2016
1