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Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges

Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges

15 April 2020
A. Alliegro
Davide Boscaini
Tatiana Tommasi
    3DPC
    SSL
ArXivPDFHTML

Papers citing "Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges"

12 / 12 papers shown
Title
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Oren Shrout
Ori Nitzan
Yizhak Ben-Shabat
A. Tal
3DPC
67
2
0
14 Aug 2023
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
Romain Loiseau
Elliot Vincent
Mathieu Aubry
Loic Landrieu
3DPC
13
3
0
19 Apr 2023
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
39
7
0
28 Oct 2022
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
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding
  Semantic Novelty Detection on Point Clouds
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC
3DV
28
7
0
23 Jul 2022
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud
  Segmentation
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
Gopal Sharma
Bidya Dash
Aruni RoyChowdhury
Matheus Gadelha
Marios Loizou
Liangliang Cao
Rui Wang
Erik Learned-Miller
Subhransu Maji
E. Kalogerakis
3DPC
13
13
0
27 Dec 2021
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
26
45
0
30 Mar 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve
Haggai Maron
Gal Chechik
3DPC
35
160
0
29 Mar 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
Boosting Domain Adaptation by Discovering Latent Domains
Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini
Lorenzo Porzi
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
136
154
0
03 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
152
769
0
30 Mar 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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