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   Articles with "fusion network" as a keyword



Semantic‐enhanced multimodal fusion network for fake news detection

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.23084

Abstract: The increasing popularity of social media facilitates the propagation of fake news, posing a major threat to the government and journalism, and thereby making how to detect fake news from social media an urgent requirement.… read more here.

Keywords: news; multimodal fusion; fusion network; fake news ... See more keywords

A multimodal fusion network based on variational autoencoder for distinguishing SCLC brain metastases from NSCLC brain metastases

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recommendations! Published in 2025 at "Medical Physics"

DOI: 10.1002/mp.17816

Abstract: Distinguishing small cell lung cancer brain metastases from non‐small cell lung cancer brain metastases in MRI sequence images is crucial for the accurate diagnosis and treatment of lung cancer brain metastases. Multi‐MRI modalities provide complementary… read more here.

Keywords: brain; brain metastases; cancer brain; lung cancer ... See more keywords

Structure-aware fusion network for 3D scene understanding

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recommendations! Published in 2021 at "Chinese Journal of Aeronautics"

DOI: 10.1016/j.cja.2021.07.012

Abstract: Abstract In this paper, we propose a Structure-Aware Fusion Network (SAFNet) for 3D scene understanding. As 2D images present more detailed information while 3D point clouds convey more geometric information, fusing the two complementary data… read more here.

Keywords: structure aware; scene understanding; point clouds; fusion network ... See more keywords

Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-78028-8

Abstract: Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them. Electrocardiography plays a role in detecting heart issues such as heart attacks, bundle branch blocks and irregular heart rhythms. Manual analysis… read more here.

Keywords: branch; ecg; fusion network; dual branch ... See more keywords

Local-global feature fusion network for hyperspectral image classification

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recommendations! Published in 2024 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2024.2403622

Abstract: ABSTRACT Hyperspectral images (HSIs) are rich in spatial and spectral information, making them crucial for accurate classification. While existing convolutional neural network (CNN) methods have shown promise in HSI classification, they primarily focus on local… read more here.

Keywords: classification; fusion network; local global; feature fusion ... See more keywords

Multi-Component Fusion Network for Small Object Detection in Remote Sensing Images

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939488

Abstract: Small object detection is a major challenge in the field of object detection. With the development of deep learning, many methods based on deep convolutional neural networks (DCNNs) have greatly improved the speed of detection… read more here.

Keywords: remote sensing; fusion network; object detection; small object ... See more keywords

Swin Transformer Fusion Network for Image Quality Assessment

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3378092

Abstract: This paper presents an efficient deep-learning model named Swin Transformer fusion network (STFN) for full-reference image quality assessment (FR-IQA). The STFN model uses the first and second stages of the Swin Transformer for feature extraction.… read more here.

Keywords: transformer fusion; swin transformer; image; fusion network ... See more keywords

Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3257051

Abstract: Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global, or spectral context information for HSI denoising. However,… read more here.

Keywords: network; fusion; multiscale adaptive; fusion network ... See more keywords

MSFFNet: A Multilevel Sparse Feature Fusion Network for Infrared Dim Small Target Detection

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3488698

Abstract: The sparse characteristics of target features poses significant challenges when using deep learning methods for infrared dim small targets. To tackle this issue, this article proposes a novel multilevel sparse feature fusion network for detecting… read more here.

Keywords: fusion network; feature fusion; target; sparse feature ... See more keywords

MMFFNet: Multi-Node Fusion Network for Passive Fusion Detection of Underwater Acoustic Communication Signals

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recommendations! Published in 2025 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2025.3566281

Abstract: In underwater acoustic communication (UWAC) signal detection, integrating data from multi-node can resolve issues caused by the spatial variability of acoustic wave propagation. This research presents a multi-node multi-scale feature fusion network (MMFFNet), which enhances… read more here.

Keywords: underwater acoustic; detection; acoustic communication; fusion ... See more keywords

FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3127958

Abstract: Deep learning shows potential superiority in the image fusion field. To solve the problem of the spatial resolution degradation of polarimetric synthetic aperture radar (PolSAR) images caused by system limitation, we propose a fully PolSAR… read more here.

Keywords: fusion network; resolution; polsar images; fully polsar ... See more keywords