Articles with "spatial channel" as a keyword



QualityNet: A multi-stream fusion framework with spatial and channel attention for blind image quality assessment

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-77076-4

Abstract: This study introduces a novel Blind Image Quality Assessment (BIQA) approach leveraging a multi-stream spatial and channel attention model. Our method addresses challenges posed by diverse image content and distortions by integrating feature maps from… read more here.

Keywords: channel attention; image; image quality; spatial channel ... See more keywords

Semantic-SCA: Semantic Structure Image Inpainting With the Spatial-Channel Attention

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3051982

Abstract: Deep learning has brought unprecedented progress to image inpainting. However, the existing methods often generate images with blurry textures and distorted structures because they may either fail to maintain semantic consistency or restore fine-grained textures.… read more here.

Keywords: image inpainting; structure; spatial channel; semantic structure ... See more keywords

A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation

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Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3406786

Abstract: Recent methods often introduce attention mechanisms into the skip connections of U-shaped networks to capture features. However, these methods usually overlook spatial information extraction in skip connections and exhibit inefficiency in capturing spatial and channel… read more here.

Keywords: segmentation; attention; skip connection; channel ... See more keywords

KAT-RSCSA: Routing, Spatial Channel, and Spectrum Assignment in Spatial Channel Networks Using Kolmogorov–Arnold Transformer

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Published in 2025 at "Journal of Lightwave Technology"

DOI: 10.1109/jlt.2025.3610910

Abstract: Spatial Channel Networks (SCNs) extend the optical bypass concept from wavelength division multiplexing (WDM) to space division multiplexing (SDM), enabling more efficient resource allocation under rising bandwidth demand. However, SCN deployment remains challenging because spatial… read more here.

Keywords: spatial channel; spectrum assignment; kolmogorov arnold; channel ... See more keywords

RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection

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

DOI: 10.1109/jstars.2025.3587701

Abstract: Synthetic aperture radar (SAR) encounters distinct challenges in airborne surveillance (dynamic scene variations, target edge blurring) and spaceborne observation (large-scale analysis, high-resolution processing). Both traditional methods and contemporary deep learning-based solutions exhibit limitations: inadequate dynamic… read more here.

Keywords: regional spatial; sar; attention; large scale ... See more keywords

PAH2T-Former: Paired-Attention Hybrid Hierarchical Transformer for Synergistically Enhanced FMT Reconstruction Quality and Efficiency

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Published in 2025 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2025.3559431

Abstract: Fluorescence molecular tomography (FMT) is a sensitive optical imaging technique that can achieve three-dimensional (3D) tomographic images at the molecular and cellular levels. However, reconstructing the internal 3D distribution of fluorescent targets from surface two-dimensional… read more here.

Keywords: fmt reconstruction; pah2t former; paired attention; attention ... See more keywords

Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3208166

Abstract: Urban villages (UVs) refer to areas of urban informal settlements lagging behind the rapid urbanization process. Recent studies focus on using satellite images to classify UV. However, satellite images only capture objects from a bird-eye… read more here.

Keywords: multilevel spatial; fusion; spatial channel; feature ... See more keywords

Summator–Subtractor Network: Modeling Spatial and Channel Differences for Change Detection

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3349638

Abstract: The field of remote sensing (RS) image change detection (CD) has made significant progress, largely due to the powerful feature representation abilities of deep learning. However, traditional methods have not fully exploited the valuable information… read more here.

Keywords: summator subtractor; change detection; channel; spatial channel ... See more keywords

HSTNet: A Hybrid Spatial–Channel Sparse Transformer Network for Infrared Small Target Detection

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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3608726

Abstract: Infrared small target detection (IRSTD) has many applications in multiple secure fields, e.g., uncrewed aerial vehicle (UAV) systems, and low-altitude threat perception. Previous works improve the performance of IRSTD, mainly focusing on global information modeling… read more here.

Keywords: small target; hybrid spatial; target; spatial channel ... See more keywords

SCAWaveNet: A Spatial–Channel Attention-Based Network for Global Significant Wave Height Retrieval

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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3635143

Abstract: Recent advancements in spaceborne global navigation satellite system (GNSS) missions have produced extensive global datasets, providing a robust basis for deep-learning (DL)-based significant wave height (SWH) retrieval. While existing DL models predominantly use cyclone GNSS… read more here.

Keywords: scawavenet; attention; channel; significant wave ... See more keywords

Image Manipulation Localization Using Spatial–Channel Fusion Excitation and Fine-Grained Feature Enhancement

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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3338703

Abstract: The purpose of image manipulation detection is to classify and locate tampered regions in digital images. Most existing manipulation localization methods usually rely on certain tampering traces hidden in manipulated images. This dependency, however, may… read more here.

Keywords: image; fusion; localization; spatial channel ... See more keywords