This issue contains three types of papers:

  1. 1.

    6 best papers from the conference Cyberworlds 2022

  2. 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.

  3. 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