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

27 / 77 papers shown
Title
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
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object
  Detection
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection
Junbo Yin
Dingfu Zhou
Liangjun Zhang
Jin Fang
Chengfeng Xu
Jianbing Shen
Wenguan Wang
3DPC
27
83
0
26 Jul 2022
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
Lanxiao Li
M. Heizmann
3DPC
33
27
0
11 Jul 2022
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
184
245
0
28 May 2022
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Dávid Rozenberszki
Or Litany
Angela Dai
3DV
VLM
23
183
0
16 Apr 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
26
117
0
30 Mar 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point
  Clouds
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
Junsheng Zhou
Xin Wen
Baorui Ma
Yu-Shen Liu
Yue Gao
Yi Fang
Zhizhong Han
3DPC
33
17
0
26 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
27
8
0
21 Mar 2022
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Ping Yu
Cheng Sun
Min Sun
3DPC
26
11
0
16 Mar 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wei Liu
Yonghong Tian
Liuliang Yuan
3DPC
ViT
33
454
0
13 Mar 2022
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided
  Label Enhancement
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
Xiuwei Xu
Yifan Wang
Yu Zheng
Yongming Rao
Jie Zhou
Jiwen Lu
3DPC
31
23
0
10 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D
  Point Cloud Understanding
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham
Isuru Dissanayake
Dinithi Dissanayake
Amaya Dharmasiri
Kanchana Thilakarathna
Ranga Rodrigo
3DPC
16
252
0
01 Mar 2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple
  Residual MLP Framework
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Xu Ma
Can Qin
Haoxuan You
Haoxi Ran
Y. Fu
3DPC
19
584
0
15 Feb 2022
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse
  LiDAR datasets
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets
Jules Sanchez
Jean-Emmanuel Deschaud
Franccois Goulette
3DPC
36
7
0
14 Feb 2022
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point
  Clouds
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
Qingyong Hu
Bo Yang
Sheikh Khalid
W. Xiao
Niki Trigoni
Andrew Markham
3DPC
26
85
0
12 Jan 2022
Implicit Autoencoder for Point-Cloud Self-Supervised Representation
  Learning
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
Siming Yan
Zhenpei Yang
Haoxiang Li
Chen Song
Li Guan
Hao Kang
G. Hua
Qi-Xing Huang
3DPC
43
61
0
03 Jan 2022
Towards General and Efficient Active Learning
Towards General and Efficient Active Learning
Yichen Xie
Masayoshi Tomizuka
Wei Zhan
VLM
35
10
0
15 Dec 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
51
655
0
29 Nov 2021
An End-to-End Transformer Model for 3D Object Detection
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra
Rohit Girdhar
Armand Joulin
3DPC
ViT
39
472
0
16 Sep 2021
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained
  Models
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
Chenfeng Xu
Shijia Yang
Tomer Galanti
Bichen Wu
Xiangyu Yue
Bohan Zhai
Wei Zhan
Peter Vajda
Kurt Keutzer
Masayoshi Tomizuka
3DPC
39
53
0
08 Jun 2021
Bootstrap Your Own Correspondences
Bootstrap Your Own Correspondences
Mohamed El Banani
Justin Johnson
3DPC
SSL
11
33
0
01 Jun 2021
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point
  Clouds
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu
Bo Yang
Guangchi Fang
Yulan Guo
A. Leonardis
Niki Trigoni
Andrew Markham
3DPC
39
118
0
11 Apr 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
623
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
279
3,378
0
09 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
152
769
0
30 Mar 2018
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
115
876
0
03 Feb 2017
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