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This issue contains three types of papers:
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1.
6 best papers from the conference Cyberworlds 2022
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2.
5 best papers from the second part of the special issue of Deep Learning for 3D segmentation. The first part of this special issue has been published in June 2023, Volume 39, Issue 6.
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3.
34 regular papers
List of 6 selected papers from the conference Cyberworlds 2022 held in Kanazawa, Japan. The program chairs are Yuriko Takeshima, Haoran ** Liu
RA-UNet: an improved network model for image denoising
Yu Pang
Cross-modal collaborative propagation for RGB–T saliency detection
Yanmin Zhu
High-density foreground object detection in optical remote sensing images via semantic fusion and box alignment
Ivan Karpukhin
Probabilistic embeddings revisited
Zheng** Hu
A fused convolutional spatio-temporal progressive approach for 3D human pose estimation
Newlin Russel
Ownership of abandoned object detection by integrating carried object recognition and context sensing
Chongyang Deng
Constrained least square progressive and iterative approximation (CLSPIA) for B-spline curve and surface fitting
Liju Yin
EC-FBNet: embeddable converged front- and back-end network for 3D reconstruction in low-light-level environment
Brajesh Kumar
Paddy yield prediction based on 2D images of rice panicles using regression techniques
Wenyuan Yang
DC-PSENet: a novel scene text detection method integrating double ResNet-based and changed channels recursive feature pyramid
Qing Tian
A plug-and-play noise-label correction framework for unsupervised domain adaptation person re-identification
Yong Feng
DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images
Yizhou Chen
Multi-category domain-dependent feature-based medical image translation
Yongjun He
3D shape classification based on global and local features extraction with collaborative learning
Hua Yan
Lightweight multi-scale network with attention for accurate and efficient crowd counting