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Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106061
Abstract: BACKGROUND AND OBJECTIVE Computer-aided cervical cancer screening based on an automated recognition of cervical cells has the potential to significantly reduce error rate and increase productivity compared to manual screening. Traditional methods often rely on…
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Keywords:
global context;
cell detection;
soft scale;
context aware ... See more keywords
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Published in 2019 at "Resources, Conservation and Recycling"
DOI: 10.1016/j.resconrec.2018.10.028
Abstract: Abstract We propose a framework for evaluating alternative approaches for recovering products and materials from capital goods that are no longer in use. It calls for deepening the existing collaborations between input-output economists and industrial…
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Keywords:
products materials;
resource;
recovery;
resource management ... See more keywords
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Published in 2019 at "Vision Research"
DOI: 10.1016/j.visres.2019.04.001
Abstract: Global context can dramatically influence local visual perception. This phenomenon is well-documented for monocular features, e.g., the Kanizsa triangle. It has been demonstrated for binocular matching: the disambiguation of the Wallpaper Illusion via the luminance…
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Keywords:
global context;
binocular matching;
contextual effects;
activity ... See more keywords
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Published in 2025 at "Regional Studies"
DOI: 10.1080/00343404.2025.2549590
Abstract: ABSTRACT Development is inherently uneven within countries. Since the 2008 global financial crisis, we find a new spatial pattern of economic performance amongst Organisation for Economic Co-operation and Development (OECD) regions, with a slow-down of…
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Keywords:
policy new;
regional policy;
policy;
global context ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3631556
Abstract: Accurate and early detection of ocular diseases such as cataracts, glaucoma, and diabetic retinopathy is essential for preventing vision loss and enabling timely treatment. Deep learning models have shown promising results in healthcare. However, ocular…
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Keywords:
classification;
vision;
transformer;
global context ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3326967
Abstract: The acquisition of global context and boundary information is crucial for the semantic segmentation of remote sensing (RS) images. In contrast to convolutional neural networks (CNNs), transformers exhibit superior performance in global modeling and shape…
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Keywords:
swin transformer;
segmentation;
remote sensing;
stream ... See more keywords
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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3252590
Abstract: Most synthetic aperture radar (SAR) ship detectors based on convolutional neural networks (CNNs) needed preset anchor boxes to object classification and bounding box coordinate regression. However, the sparsity and unbalanced distribution of ships in SAR…
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Keywords:
global context;
sar ship;
united attention;
detector ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3155899
Abstract: With practical applications such as environment surveillance, agricultural production, and disaster assessment, accurate object detection in remote sensing images is in high demand. Precise detection of object instances in remote sensing images remains considerably challenging…
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Keywords:
detection remote;
remote sensing;
object detection;
sensing images ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224733
Abstract: Land use mapping (LUM) of a coal mining subsidence area (CMSA) is a significant task. The application of convolutional neural networks (CNNs) has become prevalent in LUM, which can achieve promising performances. However, CNNs cannot…
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Keywords:
global context;
context construction;
use mapping;
land use ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3009000
Abstract: In vehicle retrieval, the vehicle patch should first be localized to remove the irrelevant background information. Moreover, the negative samples are much more prevalent than the positive samples, and the information from the negative samples…
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Keywords:
vehicle;
structure aware;
global context;
vehicle retrieval ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2023.3282489
Abstract: Arbitrary style transfer is attracting increasing attention in the computer vision community due to its application flexibility. Existing approaches directly fuse deep style features with deep content features or adaptively normalize content features for global…
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Keywords:
style transfer;
global context;
style;
arbitrary style ... See more keywords