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Self-Supervised Few-Shot Learning on Point Clouds

Self-Supervised Few-Shot Learning on Point Clouds

29 September 2020
Charu Sharma
Manohar Kaul
    SSL
    3DPC
ArXivPDFHTML

Papers citing "Self-Supervised Few-Shot Learning on Point Clouds"

29 / 29 papers shown
Title
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
Xuanhua Yin
Dingxin Zhang
Jianhui Yu
Weidong Cai
25
0
0
19 Apr 2025
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation
Yuheng Xue
Nenglun Chen
Jun Liu
Wenyun Sun
3DPC
80
7
0
24 Feb 2025
Triple Point Masking
Triple Point Masking
Jiaming Liu
Linghe Kong
Yue Wu
Maoguo Gong
Hao Li
Qiguang Miao
Wenping Ma
Can Qin
3DPC
45
0
0
26 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
Jian Li
Qiang Nie
Hanqiu Deng
Yong Liu
Qixing Huang
Yang Li
3DPC
78
0
0
19 Aug 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Milad Cheraghalikhani
G. A. V. Hakim
David Osowiechi
Farzad Beizaee
Ismail Ben Ayed
Christian Desrosiers
3DPC
78
1
0
20 May 2024
A Survey of Generative Techniques for Spatial-Temporal Data Mining
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang
Haixin Wang
Cheng Long
Liangcai Su
Xingwei He
...
Tailin Wu
Hongzhi Yin
Siu-Ming Yiu
Qi Tian
Christian S. Jensen
AI4TS
57
7
0
15 May 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
53
2
0
01 Mar 2024
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
47
116
0
18 May 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot
  Learning
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Tejas Anvekar
Dena Bazazian
3DPC
39
8
0
12 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye
Erik Cambria
Bo Zhang
Tao Chen
3DPC
29
15
0
31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification?
What Makes for Effective Few-shot Point Cloud Classification?
Chuangguan Ye
Erik Cambria
Yongbin Liao
Yang-ting Zhang
Tao Chen
Jiayuan Fan
3DPC
35
26
0
31 Mar 2023
Parameter is Not All You Need: Starting from Non-Parametric Networks for
  3D Point Cloud Analysis
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Yali Wang
Peng Gao
Hongsheng Li
Jianbo Shi
3DPC
32
52
0
14 Mar 2023
Sampled Transformer for Point Sets
Sampled Transformer for Point Sets
Shidi Li
Christian J. Walder
Alexander Soen
Lexing Xie
Miaomiao Liu
3DPC
41
1
0
28 Feb 2023
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
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou
Xiaogang Peng
Jiawei Mao
Zizhao Wu
Ming Zeng
3DPC
22
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
34
7
0
13 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
42
7
0
28 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao
Xiaojuan Qi
3DPC
53
17
0
11 Oct 2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud
  Understanding
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Guofeng Mei
Cristiano Saltori
Fabio Poiesi
Jian Zhang
Elisa Ricci
N. Sebe
Qiang Wu
3DPC
59
5
0
06 Oct 2022
Masked Autoencoders in 3D Point Cloud Representation Learning
Masked Autoencoders in 3D Point Cloud Representation Learning
Jincen Jiang
Xuequan Lu
Lizhi Zhao
Richard Dazeley
Meili Wang
3DPC
ViT
59
28
0
04 Jul 2022
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A Survey
Madeline Chantry Schiappa
Yogesh S Rawat
M. Shah
SSL
41
131
0
18 Jun 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
35
17
0
26 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
Wen Liu
Yonghong Tian
Liuliang Yuan
3DPC
ViT
33
454
0
13 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
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
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
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
208
841
0
20 Dec 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
191
1,942
0
24 Oct 2016
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