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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08978-4
Abstract: The present study reports classification and analysis of composite land features using fusion images obtained by fusing two original hyperspectral and multispectral datasets. The high spatial-spectral resolution, multi-instrument and multi-period satellite images were used for…
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Keywords:
satellite;
classification;
pixel level;
level fusion ... See more keywords
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Published in 2021 at "Defence Technology"
DOI: 10.1016/j.dt.2021.07.002
Abstract: Abstract Infrared (IR) small target detection is one of the key technologies of infrared search and track (IRST) systems. Existing methods have some limitations in detection performance, especially when the target size is irregular or…
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Keywords:
local contrast;
pixel level;
target;
detection ... See more keywords
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Published in 2023 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c03020
Abstract: Lung adenocarcinoma is the most common histologic type of lung cancer. The pixel-level labeling of histologic patterns of lung adenocarcinoma can assist pathologists in determining tumor grading with more details than normal classification. We manually…
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Keywords:
patterns lung;
lung adenocarcinoma;
pixel level;
histologic ... See more keywords
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Published in 2019 at "Nature Biomedical Engineering"
DOI: 10.1038/s41551-019-0472-6
Abstract: A deep-learning model for cancer detection trained on a large number of scanned pathology slides and associated diagnosis labels enables model development without the need for pixel-level annotations.
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Keywords:
annotations needed;
pixel level;
level annotations;
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Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd5f2
Abstract: Efficient and accurate visual inspection of products is of great significance for intelligent manufacturing. In this paper, a visual inspection framework based on a lightweight Transformer is proposed for the pixel-level inspection of tire defects.…
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Keywords:
pixel level;
tire;
tire defects;
based lightweight ... See more keywords
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Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.092001
Abstract: We have developed a convolutional neural network that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network…
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Keywords:
network;
liquid argon;
time;
pixel level ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3101716
Abstract: Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-based applications, requires in-depth and meaningful details from image sequences. Incorporating semantics in scene understanding has led to a deep understanding of human-centric actions.…
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Keywords:
pixel level;
level labeling;
via gaussian;
recognition ... See more keywords
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Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3278741
Abstract: Pixel-level annotations are extremely expensive for medical image segmentation tasks as both expertise and time are needed to generate accurate annotations. Semi-supervised learning (SSL) for medical image segmentation has recently attracted growing attention because it…
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Keywords:
pixel level;
medical image;
image segmentation;
level ... See more keywords
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Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2870650
Abstract: Crops mapping unequivocally becomes a daunting task in humid, tropical, or subtropical regions due to unattainability of adequate cloud-free optical imagery. Objective of this study is to evaluate the comparative performance between decision- and pixel-levels…
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Keywords:
classification;
level;
pixel level;
fusion ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3136873
Abstract: In this work, we present PANet, a pixel-level attention network with embedding vector features, which addresses the challenge of 6D pose estimation from a single RGBD image under severe occlusion. PANet produces pixel-wise attention for…
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Keywords:
attention;
vector features;
pose estimation;
pixel level ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3222636
Abstract: Deep learning-based detection methods have achieved great success in ship target detection in synthetic aperture radar (SAR) images. However, due to the interference of imaging mechanism, speckle noise, and sea and land clutter, ship detection…
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Keywords:
object level;
pixel level;
level;
detection ... See more keywords