Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification-Reference-Cited by-同舟云学术

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Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification

Published:2024 Issue: Volume:31 Page:1059-1063
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

He Yuan¹^ORCID,Hu Guyue²^ORCID,Yu Shan¹^ORCID

Affiliation:

1. Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Artificial Intelligence, Anhui University, Hefei, China

Funder

STI 2030-Major Project

Chinese Academy of Sciences

CAS International Partnership

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10494369.pdf?arnumber=10494369

Reference36 articles.

1. Deep Learning for 3D Point Clouds: A Survey

2. Multi-view 3D Object Detection Network for Autonomous Driving

3. Adaptive Hierarchical Down-Sampling for Point Cloud Classification

4. Deep Closest Point: Learning Representations for Point Cloud Registration

5. Probabilistic Boundary-Guided Point Cloud Primitive Segmentation Network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning for 3D object recognition: A survey;Neurocomputing;2024-12

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