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A Closer Look at Invariances in Self-supervised Pre-training for 3D
  Vision

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision

11 July 2022
Lanxiao Li
M. Heizmann
    3DPC
ArXivPDFHTML

Papers citing "A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision"

26 / 26 papers shown
Title
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
57
1
0
03 Jan 2025
SAM-Guided Masked Token Prediction for 3D Scene Understanding
SAM-Guided Masked Token Prediction for 3D Scene Understanding
Zhimin Chen
Liang Yang
Yingwei Li
Longlong Jing
Bing Li
32
3
0
16 Oct 2024
Enhancing Generalizability of Representation Learning for Data-Efficient
  3D Scene Understanding
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding
Yunsong Wang
Na Zhao
Gim Hee Lee
SSL
3DV
18
0
0
17 Jun 2024
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving
  Representation Learning
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
Jialv Zou
Bencheng Liao
Qian Zhang
Wenyu Liu
Xinggang Wang
27
0
0
13 Mar 2024
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation
  Learning
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
Weijie Wei
F. Karimi Nejadasl
Theo Gevers
Martin R. Oswald
3DPC
20
3
0
15 Dec 2023
Point Cloud Self-supervised Learning via 3D to Multi-view Masked
  Autoencoder
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder
Zhimin Chen
Yingwei Li
Longlong Jing
Liang Yang
Bing Li
3DPC
29
9
0
17 Nov 2023
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
Honghui Yang
Sha Zhang
Di Huang
Xiaoyang Wu
Haoyi Zhu
...
Hengshuang Zhao
Qibo Qiu
Binbin Lin
Xiaofei He
Wanli Ouyang
SSL
18
20
0
12 Oct 2023
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for
  3D Understanding
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
Jiachen Kang
W. Jia
Xiangjian He
Kin-Man Lam
3DPC
16
2
0
28 Jul 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
9
83
0
15 Jun 2023
Randomized 3D Scene Generation for Generalizable Self-Supervised
  Pre-Training
Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training
Lanxiao Li
M. Heizmann
11
0
0
07 Jun 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
11
31
0
15 May 2023
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene
  Understanding
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
Li Jiang
Zetong Yang
Shaoshuai Shi
Vladislav Golyanik
Dengxin Dai
Bernt Schiele
3DPC
14
10
0
08 May 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Ben Fei
Weidong Yang
Liwen Liu
Tian-jian Luo
Rui Zhang
Yixuan Li
Ying He
3DPC
13
17
0
08 May 2023
Applying Plain Transformers to Real-World Point Clouds
Applying Plain Transformers to Real-World Point Clouds
Lanxiao Li
M. Heizmann
3DPC
ViT
8
3
0
28 Feb 2023
Self-Supervised Image-to-Point Distillation via Semantically Tolerant
  Contrastive Loss
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Anas Mahmoud
Jordan S. K. Hu
Tianshu Kuai
Ali Harakeh
Liam Paull
Steven L. Waslander
3DPC
SSL
22
29
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
20
28
0
31 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
30
58
0
06 Dec 2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth
  Pre-training
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
Tianyu Huang
Bowen Dong
Yunhan Yang
Xiaoshui Huang
Rynson W. H. Lau
Wanli Ouyang
W. Zuo
VLM
3DPC
CLIP
13
144
0
03 Oct 2022
Unsupervised Point Cloud Representation Learning with Deep Neural
  Networks: A Survey
Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
Aoran Xiao
Jiaxing Huang
Dayan Guan
Xiaoqin Zhang
Shijian Lu
Ling Shao
3DPC
11
70
0
28 Feb 2022
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
120
267
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
136
618
0
21 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
C. Qi
Xinlei Chen
Or Litany
Leonidas J. Guibas
3DPC
178
239
0
29 Jan 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
109
193
0
18 Oct 2019
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
864
0
03 Feb 2017
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
210
13,886
0
02 Dec 2016
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