Articles with "pixel level" as a keyword



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Classification of complex environments using pixel level fusion of satellite data

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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… read more here.

Keywords: satellite; classification; pixel level; level fusion ... See more keywords
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A pixel-level local contrast measure for infrared small target detection

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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… read more here.

Keywords: local contrast; pixel level; target; detection ... See more keywords
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Pixel-Level Classification of Five Histologic Patterns of Lung Adenocarcinoma.

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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… read more here.

Keywords: patterns lung; lung adenocarcinoma; pixel level; histologic ... See more keywords
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No pixel-level annotations needed

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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. read more here.

Keywords: annotations needed; pixel level; level annotations;
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Automatic pixel-level detection of tire defects based on a lightweight Transformer architecture

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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.… read more here.

Keywords: pixel level; tire; tire defects; based lightweight ... See more keywords
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Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

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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… read more here.

Keywords: network; liquid argon; time; pixel level ... See more keywords
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Semantic Recognition of Human-Object Interactions via Gaussian-Based Elliptical Modeling and Pixel-Level Labeling

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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.… read more here.

Keywords: pixel level; level labeling; via gaussian; recognition ... See more keywords
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Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation.

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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… read more here.

Keywords: pixel level; medical image; image segmentation; level ... See more keywords
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Comparative Performance Evaluation of Pixel-Level and Decision-Level Data Fusion of Landsat 8 OLI, Landsat 7 ETM+ and Sentinel-2 MSI for Crop Ensemble Classification

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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… read more here.

Keywords: classification; level; pixel level; fusion ... See more keywords
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PANet: A Pixel-Level Attention Network for 6D Pose Estimation With Embedding Vector Features

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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… read more here.

Keywords: attention; vector features; pose estimation; pixel level ... See more keywords
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FINet: A Feature Interaction Network for SAR Ship Object-Level and Pixel-Level Detection

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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… read more here.

Keywords: object level; pixel level; level; detection ... See more keywords