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To Supervise or Not to Supervise: Understanding and Addressing the Key
  Challenges of 3D Transfer Learning

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning

26 March 2024
Souhail Hadgi
Lei Li
M. Ovsjanikov
ArXivPDFHTML

Papers citing "To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning"

4 / 4 papers shown
Title
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
139
618
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
219
13,886
0
02 Dec 2016
1