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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23005
Abstract: Rain streaks can seriously degrade the visual quality of an image and are detrimental to subsequent algorithms such as object detection and semantic segmentation. Therefore, removing rain streaks is a very important task. The deraining…
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Keywords:
network;
coordinate attention;
joint channel;
stage ... See more keywords
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1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3190018
Abstract: GF-1 multispectral wide field of view (WFV) images, with a spatial resolution of 16 m, have been widely used in Earth monitoring. However, the spatial details provided by WFV images are not sufficient for many…
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Keywords:
attention;
coordinate attention;
residual coordinate;
attention network ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3348804
Abstract: Convolutional neural networks (CNN) have achieved remarkable performance in image denoising. However, most existing CNNs cannot accurately capture and remove tiny noises during the denoising process and lose edge detail information easily. In this paper,…
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Keywords:
coordinate attention;
attention;
image denoising;
network ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3457938
Abstract: Existing deep learning-based infrared image analysis methods have been widely utilized in gearbox faults. However, these methods still face problems such as insufficient amount of effective data and poor adaptability under variable working conditions. In…
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Keywords:
coordinate attention;
fault;
attention mechanism;
multiscale module ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3545512
Abstract: Fault diagnosis of rotating machinery is widely recognized as a challenging problem. Recent advances in combining convolutional neural networks (CNNs) and Transformers have expanded the capabilities of intelligent fault diagnosis. However, in real-world industrial settings,…
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Keywords:
diagnosis;
multigroup coordinate;
coordinate attention;
fault diagnosis ... See more keywords
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Published in 2025 at "Science Progress"
DOI: 10.1177/00368504251336695
Abstract: The paper proposes improvements to YOLOv8n to enhance small target detection capabilities and introduces coordinate attention (CA) to the C2f module to improve focus on spatial information and local details. CA enhances spatial feature representation…
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Keywords:
detection;
coordinate attention;
omni dimensional;
dimensional dynamic ... See more keywords
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Published in 2025 at "Journal of Telecommunications and Information Technology"
DOI: 10.26636/jtit.2025.2.2146
Abstract: This paper presents an improved approach for facial expression recognition (FER), which incorporates the Coordinate Attention (CAM) mechanism into MobileNetV3, a lightweight CNN widely used for its real-time applications on low-power devices. The CA mechanism…
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Keywords:
facial expression;
expression recognition;
coordinate attention;
dynamic kernel ... See more keywords
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Published in 2025 at "IIUM Engineering Journal"
DOI: 10.31436/iiumej.v26i1.3194
Abstract: The detection of Diabetic Retinopathy (DR) is an emergent research topic in recent decades, where DR is a primary cause of vision loss in humans. The existing techniques have limitations such as neuron death issues,…
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Keywords:
detection;
coordinate attention;
yang;
dan ... See more keywords
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1
Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1030021
Abstract: Accurate recognition method of pitaya in natural environment provides technical support for automatic picking. Aiming at the intricate spatial position relationship between pitaya fruits and branches, a pitaya recognition method based on improved YOLOv4 was…
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Keywords:
recognition;
coordinate attention;
yolov4 recognition;
improved yolov4 ... See more keywords
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Published in 2025 at "Future Internet"
DOI: 10.3390/fi17110489
Abstract: Image classification is central to computer vision, supporting applications from autonomous driving to medical imaging, yet state-of-the-art convolutional neural networks remain constrained by heavy floating-point operations (FLOPs) and parameter counts on edge devices. To address…
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Keywords:
image classification;
coordinate attention;
attention;
channel pruning ... See more keywords