Self-supervised learning for point cloud data: A survey-Reference-Cited by-同舟云学术

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Self-supervised learning for point cloud data: A survey

Published:2024-03 Issue: Volume:237 Page:121354
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zeng Changyu^ORCID,Wang Wei^ORCID,Nguyen Anh,Xiao Jimin^ORCID,Yue Yutao^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference131 articles.

1. Self-supervised learning for domain adaptation on point clouds;Achituve,2021

2. Crosspoint: Self-supervised cross-modal contrastive learning for 3d point cloud understanding;Afham,2022

3. Learning to see by moving;Agrawal,2015

4. Look, listen and learn;Arandjelovic,2017

5. 3D semantic parsing of large-scale indoor spaces;Armeni,2016

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1. Artificial intelligence-based spatio-temporal vision sensors: applications and prospects;Frontiers in Materials;2023-12-07

2. A Real-time Construction of Raster Maps Based on Improved Data Normalization;2023 International Conference on Electronics and Devices, Computational Science (ICEDCS);2023-09-22

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