Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization-Reference-Cited by-同舟云学术

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Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization

Published:2024-12 Issue: Volume:156 Page:110701
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Mengtian^ORCID,Lin Shaohui,Wang Zihan,Shen Yunhang^ORCID,Zhang Baochang,Ma Lizhuang

Publisher

Elsevier BV

Reference52 articles.

1. KSS-ICP: Point cloud registration based on Kendall shape space;Lv;IEEE Trans. Image Process.,2023

2. Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short-term memory;Özçelik;Fractal Fract.,2023

3. Artificial intelligence-based robust hybrid algorithm design and implementation for real-time detection of plant diseases in agricultural environments;Yağ;Biology,2022

4. Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene segmentation;Li;Pattern Recognit.,2022

5. Intrinsic and isotropic resampling for 3D point clouds;Lv;IEEE Trans. Pattern Anal. Mach. Intell.,2022

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