Articles with "deep feature" as a keyword



Projector deep feature extraction-based garbage image classification model using underwater images

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Published in 2024 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-024-18731-w

Abstract: Marine and ocean pollution is one of the most serious environmental problems in the world. Marine plastics pose a significant threat to the marine ecosystem due to their negative effects. After passing through various processes,… read more here.

Keywords: garbage; extraction based; feature extraction; projector deep ... See more keywords

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction

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Published in 2019 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-019-01217-w

Abstract: We study the problem of recovering an underlying 3D shape from a set of images. Existing learning based approaches usually resort to recurrent neural nets, e.g., GRU, or intuitive pooling operations, e.g., max/mean poolings, to… read more here.

Keywords: multi view; aggregation; view reconstruction; deep feature ... See more keywords
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Skin feature point tracking using deep feature encodings

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Published in 2024 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-024-02405-y

Abstract: Facial feature tracking is a key component of imaging ballistocardiography (BCG) where accurate quantification of the displacement of facial keypoints is needed for good heart rate estimation. Skin feature tracking enables video-based quantification of motor… read more here.

Keywords: skin feature; feature encodings; feature tracking; deep feature ... See more keywords

Deep Feature Retrieval With Human‐in‐the‐Loop for Underwater Hull Fouling Segmentation

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Published in 2025 at "Electronics Letters"

DOI: 10.1049/ell2.70332

Abstract: The inherent blurriness of underwater images, diversity of fouling patterns, and indistinct boundaries present significant challenges for underwater hull fouling segmentation tasks. To address these challenges, we propose a human–machine collaborative approach for underwater hull… read more here.

Keywords: hull fouling; segmentation; underwater hull; deep feature ... See more keywords
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A deep 2D/3D Feature-Level fusion for classification of UAV multispectral imagery in urban areas

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Published in 2021 at "Geocarto International"

DOI: 10.1080/10106049.2021.1959655

Abstract: In this paper, a deep convolutional neural network (CNN) is developed to classify the Unmanned Aerial Vehicle (UAV) derived multispectral imagery and normalized digital surface model (DSM) data in ... read more here.

Keywords: multispectral imagery; imagery; level fusion; feature level ... See more keywords

Deep Feature Fusion Multiple Instance Learning for WaDang Recognition

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2929837

Abstract: WaDang recognition can provide valuable information for digital protection of cultural relics. However, WaDang recognition is challenging due to a great number of variations, such as different characters, different background pattern, and different scale and… read more here.

Keywords: multiple instance; deep feature; instance learning; recognition ... See more keywords

Deep Feature Fusion for Rumor Detection on Twitter

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3111790

Abstract: The increasing popularity of social media has made the creation and spread of rumors much easier. Widespread rumors on social media could cause devastating damages to society and individuals. Automatically detecting rumors in a timely… read more here.

Keywords: deep feature; feature fusion; twitter; rumor ... See more keywords

A Hierarchical Feature Extraction and Multimodal Deep Feature Integration-Based Model for Autism Spectrum Disorder Identification

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Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3540894

Abstract: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, and precise prediction using imaging or other biological information is of great significance. However, predicting ASD in individuals presents the following challenges: first, there is extensive… read more here.

Keywords: feature extraction; hierarchical feature; model; deep feature ... See more keywords

Detailed PV Monitor: A Highly Generalized Photovoltaic Panels Segmentation Network Integrating Context-Aware and Deep Feature Reconstruction

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3558471

Abstract: The urgency of global climate change has driven the rapid expansion of photovoltaic (PV) energy systems. However, accurately identifying PV panels remains a major challenge due to complex environmental backgrounds, spectral confusion, and the lack… read more here.

Keywords: segmentation; reconstruction; context aware; deep feature ... See more keywords

High-Quality Signal Denoising and Deep Feature Representation and Its Application to the ENPEMF

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3204667

Abstract: The Earth’s natural pulsed electromagnetic field (ENPEMF) signal is released by the instantaneous disturbance of the Earth’s naturally varying magnetic field, which contains a large amount of information about the changing geological structures and their… read more here.

Keywords: noise; feature; feature representation; enpemf signal ... See more keywords

A Robust UAV Hyperspectral Image Stitching Method Based on Deep Feature Matching

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3123980

Abstract: Unmanned aerial vehicle (UAV) hyperspectral imaging has been extensively applied in various fields. However, due to the limited imaging width, hyperspectral images (HSIs) captured by UAV need to be stitched, so as to effectively cover… read more here.

Keywords: stitching method; feature; uav hyperspectral; feature matching ... See more keywords