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Data Efficient 3D Learner via Knowledge Transferred from 2D Model

Data Efficient 3D Learner via Knowledge Transferred from 2D Model

16 March 2022
Ping Yu
Cheng Sun
Min Sun
    3DPC
ArXivPDFHTML

Papers citing "Data Efficient 3D Learner via Knowledge Transferred from 2D Model"

12 / 12 papers shown
Title
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from
  Only 2D Images
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images
Timing Yang
Yuanliang Ju
Li Yi
3DPC
32
3
0
31 Oct 2024
PartDistill: 3D Shape Part Segmentation by Vision-Language Model
  Distillation
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
Ardian Umam
Cheng-Kun Yang
Min-Hung Chen
Jen-Hui Chuang
Yen-Yu Lin
24
11
0
07 Dec 2023
Three Pillars improving Vision Foundation Model Distillation for Lidar
Three Pillars improving Vision Foundation Model Distillation for Lidar
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Oriane Siméoni
Corentin Sautier
Patrick Pérez
Andrei Bursuc
Renaud Marlet
95
18
0
26 Oct 2023
2D-3D Interlaced Transformer for Point Cloud Segmentation with
  Scene-Level Supervision
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
Cheng-Kun Yang
Min-Hung Chen
Yung-Yu Chuang
Yen-Yu Lin
ViT
3DPC
22
16
0
19 Oct 2023
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
Zongyi Xu
Bo Yuan
Shanshan Zhao
Qianni Zhang
Xinbo Gao
3DPC
27
13
0
22 Aug 2023
You Only Need One Thing One Click: Self-Training for Weakly Supervised
  3D Scene Understanding
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding
Zhengzhe Liu
Xiaojuan Qi
Chi-Wing Fu
3DPC
22
0
0
26 Mar 2023
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D
  Dense CLIP
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP
Junbo Zhang
Runpei Dong
Kaisheng Ma
CLIP
VLM
24
77
0
08 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
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
268
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
139
620
0
21 Jul 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
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
14,087
0
02 Dec 2016
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