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Distillation with Contrast is All You Need for Self-Supervised Point
  Cloud Representation Learning

Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning

9 February 2022
Kexue Fu
Peng Gao
Renrui Zhang
Hongsheng Li
Yu Qiao
Manning Wang
    SSL
    3DPC
ArXivPDFHTML

Papers citing "Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning"

15 / 15 papers shown
Title
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
Self-Ordering Point Clouds
Self-Ordering Point Clouds
Pengwan Yang
Cees G. M. Snoek
Yuki M. Asano
SSL
3DPC
21
4
0
03 Apr 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLM
MLLM
40
170
0
03 Mar 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
PointSmile: Point Self-supervised Learning via Curriculum Mutual
  Information
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information
Xin Li
Mingqiang Wei
Songcan Chen
3DPC
SSL
35
3
0
30 Jan 2023
TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry
  Learning
TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning
Pei-Kai Huang
L. Liu
Renrui Zhang
Song Zhang
Xin Xu
Bai-Qi Wang
G. Liu
3DPC
MDE
34
42
0
28 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
Rethinking the compositionality of point clouds through regularization
  in the hyperbolic space
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Antonio Montanaro
D. Valsesia
E. Magli
3DPC
46
31
0
21 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
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
Dening Lu
Qian Xie
Linlin Xu
Jonathan Li
3DV
19
68
0
02 Mar 2022
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
347
5,785
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
270
3,375
0
09 Mar 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
14,109
0
02 Dec 2016
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
180
1,941
0
24 Oct 2016
1