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Self-Supervised Pretraining of 3D Features on any Point-Cloud

Self-Supervised Pretraining of 3D Features on any Point-Cloud

7 January 2021
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
    3DPC
ArXivPDFHTML

Papers citing "Self-Supervised Pretraining of 3D Features on any Point-Cloud"

50 / 75 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
LeAP: Consistent multi-domain 3D labeling using Foundation Models
LeAP: Consistent multi-domain 3D labeling using Foundation Models
Simon Gebraad
Andras Palffy
Holger Caesar
155
1
0
06 Feb 2025
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Yifan Zhang
Junhui Hou
66
1
0
03 Jan 2025
Triple Point Masking
Triple Point Masking
Jiaming Liu
Linghe Kong
Yue Wu
Maoguo Gong
Hao Li
Qiguang Miao
Wenping Ma
Can Qin
3DPC
43
0
0
26 Sep 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
Sutharsan Mahendren
Saimunur Rahman
Piotr Koniusz
Tharindu Fernando
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
3DPC
36
0
0
24 Sep 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Yunze Man
Shuhong Zheng
Zhipeng Bao
M. Hebert
Liang-Yan Gui
Yu-xiong Wang
78
15
0
05 Sep 2024
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
Xuechao Chen
Ying Chen
J. Li
Qiang Nie
Hanqiu Deng
Qixing Huang
Qixing Huang
Yang Li
3DPC
78
0
0
19 Aug 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point
  Modeling
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha
Naiqi Li
Yanzi Wang
Tao Dai
Hang Guo
Bin Chen
Zhi Wang
Zhihao Ouyang
Shu-Tao Xia
Mamba
42
8
0
27 May 2024
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Ayumu Saito
Prachi Kudeshia
Jiju Poovvancheri
3DPC
45
7
0
25 Apr 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
48
2
0
01 Mar 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Yifan Zhang
Siyu Ren
Junhui Hou
Jinjian Wu
Guangming Shi
Guangming Shi
SSL
3DPC
90
3
0
23 Jan 2024
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Mingsheng Li
Xin Chen
C. Zhang
Sijin Chen
Erik Cambria
Fukun Yin
Gang Yu
Tao Chen
36
24
0
17 Dec 2023
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
Yanlong Li
Chamara Madarasingha
Kanchana Thilakarathna
26
1
0
06 Dec 2023
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
Hao Yang
Haiyang Wang
Di Dai
Liwei Wang
3DPC
27
4
0
08 Nov 2023
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
23
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
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
Haoyi Zhu
Honghui Yang
Xiaoyang Wu
Di Huang
Sha Zhang
...
Hengshuang Zhao
Chunhua Shen
Yu Qiao
Tong He
Wanli Ouyang
SSL
77
43
0
12 Oct 2023
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene
  Reconstruction
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
3DPC
SSL
35
13
0
27 Sep 2023
360$^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR
  Segmentation
360∘^\circ∘ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation
Laurenz Reichardt
Nikolas Ebert
Oliver Wasenmüller
3DPC
51
10
0
12 Sep 2023
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR
  Data
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data
Mariona Carós
Ariadna Just
Santi Seguí
Jordi Vitrià
SSL
3DPC
24
3
0
05 Sep 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Oren Shrout
Ori Nitzan
Yizhak Ben-Shabat
A. Tal
3DPC
67
2
0
14 Aug 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learning
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
19
2
0
11 Jul 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World
  Understanding
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu
Ruoxi Shi
Kaiming Kuang
Yinhao Zhu
Xuanlin Li
Shizhong Han
H. Cai
Fatih Porikli
Hao Su
3DPC
39
116
0
18 May 2023
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point
  Cloud Pre-Training
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
Xiaoyu Tian
Haoxi Ran
Yue Wang
Hang Zhao
3DPC
ViT
29
38
0
15 May 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with
  Foundation Models
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Zhimin Chen
Longlong Jing
Yingwei Li
Bing Li
32
31
0
15 May 2023
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
Romain Loiseau
Elliot Vincent
Mathieu Aubry
Loic Landrieu
3DPC
13
3
0
19 Apr 2023
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
41
15
0
14 Apr 2023
Geometric-aware Pretraining for Vision-centric 3D Object Detection
Geometric-aware Pretraining for Vision-centric 3D Object Detection
Linyan Huang
Huijie Wang
J. Zeng
Shengchuan Zhang
Liujuan Cao
Junchi Yan
Hongyang Li
3DPC
70
9
0
06 Apr 2023
Self-Ordering Point Clouds
Self-Ordering Point Clouds
Pengwan Yang
Cees G. M. Snoek
Yuki M. Asano
SSL
3DPC
23
4
0
03 Apr 2023
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
Dávid Rozenberszki
Or Litany
Angela Dai
3DPC
ISeg
34
23
0
25 Mar 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A
  Comprehensive Review
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Yining Shi
Kun Jiang
Jiusi Li
Zelin Qian
Jun Wen
Mengmeng Yang
Ke Wang
Diange Yang
91
25
0
02 Mar 2023
Applying Plain Transformers to Real-World Point Clouds
Applying Plain Transformers to Real-World Point Clouds
Lanxiao Li
M. Heizmann
3DPC
ViT
26
3
0
28 Feb 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
34
52
0
27 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
38
118
0
05 Feb 2023
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
Runnan Chen
Youquan Liu
Lingdong Kong
Xinge Zhu
Yuexin Ma
Yikang Li
Yuenan Hou
Yu Qiao
Wenping Wang
CLIP
3DPC
31
140
0
12 Jan 2023
Ponder: Point Cloud Pre-training via Neural Rendering
Ponder: Point Cloud Pre-training via Neural Rendering
Di Huang
Sida Peng
Tong He
Honghui Yang
Xiaowei Zhou
Wanli Ouyang
SSL
3DPC
39
41
0
31 Dec 2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
Yuan Yao
Yuanhan Zhang
Zhen-fei Yin
Jiebo Luo
Wanli Ouyang
Xiaoshui Huang
3DPC
29
10
0
17 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
29
84
0
16 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
41
125
0
13 Dec 2022
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud
  Pre-training in Autonomous Driving Scenarios
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
Zhiwei Lin
Yongtao Wang
Shengxiang Qi
Nan Dong
Ming-Hsuan Yang
3DPC
19
13
0
12 Dec 2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Honghui Yang
Tong He
Jiaheng Liu
Huaguan Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wanli Ouyang
54
58
0
06 Dec 2022
How do Cross-View and Cross-Modal Alignment Affect Representations in
  Contrastive Learning?
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?
Thomas M. Hehn
Julian F. P. Kooij
D. Gavrila
SSL
26
0
0
23 Nov 2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou
Xiaogang Peng
Jiawei Mao
Zizhao Wu
Ming Zeng
3DPC
19
3
0
22 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Ruihuang Li
Kui Jia
Lei Zhang
3DPC
27
7
0
13 Nov 2022
Joint Data and Feature Augmentation for Self-Supervised Representation
  Learning on Point Clouds
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds
Zhuheng Lu
Yuewei Dai
Weiqing Li
Zhiyong Su
3DPC
30
4
0
02 Nov 2022
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud
  Analysis
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
Bach Tran
Binh-Son Hua
Anh Tran
Minh Hoai
3DPC
39
7
0
28 Oct 2022
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and
  Uncertainty-Spectrum Modeling
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling
Beiwen Tian
Liyi Luo
Hao Zhao
Guyue Zhou
27
23
0
20 Oct 2022
GIDP: Learning a Good Initialization and Inducing Descriptor
  Post-enhancing for Large-scale Place Recognition
GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition
Zhaoxin Fan
Zhenbo Song
Hongyan Liu
Jun He
43
0
0
23 Sep 2022
SeRP: Self-Supervised Representation Learning Using Perturbed Point
  Clouds
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds
Siddhant Garg
Mudit Chaudhary
3DPC
45
2
0
13 Sep 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D
  Segmentation
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
Gopal Sharma
K. Yin
Subhransu Maji
E. Kalogerakis
Litany
Sanja Fidler
3DV
3DPC
26
12
0
18 Aug 2022
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