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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…
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Keywords:
channel attention;
image;
image quality;
spatial channel ... See more keywords
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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.…
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Keywords:
image inpainting;
structure;
spatial channel;
semantic structure ... See more keywords
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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…
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Keywords:
segmentation;
attention;
skip connection;
channel ... See more keywords
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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…
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Keywords:
spatial channel;
spectrum assignment;
kolmogorov arnold;
channel ... See more keywords
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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…
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Keywords:
regional spatial;
sar;
attention;
large scale ... See more keywords
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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…
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Keywords:
fmt reconstruction;
pah2t former;
paired attention;
attention ... See more keywords
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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…
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Keywords:
multilevel spatial;
fusion;
spatial channel;
feature ... See more keywords
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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…
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Keywords:
summator subtractor;
change detection;
channel;
spatial channel ... See more keywords
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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…
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Keywords:
small target;
hybrid spatial;
target;
spatial channel ... See more keywords
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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…
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Keywords:
scawavenet;
attention;
channel;
significant wave ... See more keywords
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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…
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Keywords:
image;
fusion;
localization;
spatial channel ... See more keywords