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PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud
  Segmentation

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation

27 December 2021
Gopal Sharma
Bidya Dash
Aruni RoyChowdhury
Matheus Gadelha
Marios Loizou
Liangliang Cao
Rui Wang
Erik Learned-Miller
Subhransu Maji
E. Kalogerakis
    3DPC
ArXivPDFHTML

Papers citing "PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation"

5 / 5 papers shown
Title
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Lukas Brunke
Yanni Zhang
Ralf Romer
Jack Naimer
Nikola Staykov
Siqi Zhou
Angela P. Schoellig
59
4
0
19 Oct 2024
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
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
622
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
117
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
14,103
0
02 Dec 2016
1