Cover Image

MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Niu, Penghui, She, Jiashuai, Cai, Taotao, Zhang, Yajuan, Zhang, Ping, Gu, Junhua, Li, Jianxin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

M3S-Net: Multimodal Feature Fusion Network Based on Multi-scale Data for Ultra-short-term PV Power Forecasting
by: Niu, Penghui, et al.
Published: (2026)

USF-Net: A Unified Spatiotemporal Fusion Network for Ground-Based Remote Sensing Cloud Image Sequence Extrapolation
by: Niu, Penghui, et al.
Published: (2025)

Density-aware global-local attention network for point cloud segmentation
by: Li, Chade, et al.
Published: (2024)

Tea bud detection based on multi‐scale convolutional block attention module
by: Jiangsheng Gui, et al.
Published: (2024)

Intelligent skin lesion segmentation using deformable attention Transformer U‐Net with bidirectional attention mechanism in skin cancer images
by: Lili Cai, et al.
Published: (2024)

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
by: Fu, Zhaojin, et al.
Published: (2024)

Medical image segmentation network based on a multisize convolutional kernel association strategy
by: Zhihao Lu, et al.
Published: (2025)

MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentation
by: Yuan, Yanli, et al.
Published: (2024)

MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
by: Zhang, Jiawei, et al.
Published: (2018)

A multi‐head convolutional attention residual network for prepress image super‐resolution reconstruction in digital printing
by: Zebin Su, et al.
Published: (2025)

A combination of multi‐scale and attention based on the U‐shaped network for retinal vessel segmentation
by: Yan Zhang, et al.
Published: (2024)

A constrained convolutional neural network with attention mechanism for image manipulation detection
by: Hamidja, Kamagate Beman, et al.
Published: (2025)

Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
by: Zuo, Xin, et al.
Published: (2025)

LightAWNet: Lightweight adaptive weighting network based on dynamic convolutions for medical image segmentation
by: Xiaoyan Wang, et al.
Published: (2024)

A novel image segmentation network with multi‐scale and flow‐guided attention for early screening of vaginal intraepithelial neoplasia (VAIN)
by: Jun Li, et al.
Published: (2025)

Diffusion network with spatial channel attention infusion and frequency spatial attention for brain tumor segmentation
by: Jiaqi Mi, et al.
Published: (2024)

KM-UNet KAN Mamba UNet for medical image segmentation
by: Zhang, Yibo
Published: (2025)

Drug-target interaction prediction by integrating heterogeneous information with mutual attention network
by: Zhang, Yuanyuan, et al.
Published: (2024)

Multi‐group deformable convolution network for 3D medical image segmentation
by: Yuheng Li, et al.
Published: (2025)

PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation
by: Ma, Xu, et al.
Published: (2025)

Bearing fault diagnosis based on multi-scale spectral images and convolutional neural network
by: Luo, Tongchao, et al.
Published: (2025)

An attention mechanism‐based lightweight UNet for musculoskeletal ultrasound image segmentation
by: Yan Zhang, et al.
Published: (2024)

GTMamba : Graph Tri‐Orientated Mamba Network for 3D Brain Tumor Segmentation
by: Ye Zhang, et al.
Published: (2025)

A medical image segmentation method for rectal tumors based on multi‐scale feature retention and multiple attention mechanisms
by: Jumin Zhao, et al.
Published: (2024)

Diagnosis of glaucoma using multi‐scale attention block in convolution neural network and data augmentation techniques
by: Hamid Reza Khajeha, et al.
Published: (2024)

Enhanced multi‐scale selective attention U‐net for breast ultrasound image segmentation
by: Peng Wang, et al.
Published: (2025)

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution
by: Ya‐mei Xu, et al.
Published: (2026)

A Hybrid‐Mamba network with dual level attention fusion for multimodal COPD diagnosis
by: Feifan Zhang, et al.
Published: (2026)

Ensembling convolutional neural networks for human skin segmentation
by: Kuban, Patryk, et al.
Published: (2024)

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation
by: Nguyen, Viet-Thanh, et al.
Published: (2024)

Application of convolutional neural networks in image super-resolution
by: Tian, Chunwei, et al.
Published: (2025)

Multi-scale gridded Gabor attention for cirrus segmentation
by: Richards, Felix, et al.
Published: (2024)

ProMamba: Prompt-Mamba for polyp segmentation
by: Xie, Jianhao, et al.
Published: (2024)

AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
by: Naveed, Asim, et al.
Published: (2024)

MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images
by: Liwen Zhang, et al.
Published: (2024)

Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention
by: Guohao Xu, et al.
Published: (2024)

Point‐cloud segmentation with in‐silico data augmentation for prostate cancer treatment
by: Jianxin Zhou, et al.
Published: (2025)

Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network
by: Runyuan Wang, et al.
Published: (2024)

IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
by: Huang, Yan, et al.
Published: (2025)

BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
by: Chen, Gongping, et al.
Published: (2023)