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   Articles with "guided attention" as a keyword



Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-62211-y

Abstract: Sex determination is essential for identifying unidentified individuals, particularly in forensic contexts. Traditional methods for sex determination involve manual measurements of skeletal features on CBCT scans. However, these manual measurements are labor-intensive, time-consuming, and error-prone.… read more here.

Keywords: sex; anatomy guided; anatomy; guided attention ... See more keywords

Guided attention strategies for developing teacher sight

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recommendations! Published in 2024 at "Teacher Development"

DOI: 10.1080/13664530.2024.2374856

Abstract: ABSTRACT It is often argued that skilled teachers see or perceive their teaching environments differently from novice teachers. However, few teacher development approaches seek explicitly to develop this ‘teacher sight’. This article draws on the… read more here.

Keywords: guided attention; sight; development; teacher sight ... See more keywords

Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3243104

Abstract: Computerized tomography (CT) scan images are widely used in automatic lung cancer detection and classification. The lung nodules’ texture distribution throughout the CT scan volume can vary significantly, and accurate identification and consideration of discriminative… read more here.

Keywords: nodule; classification; attention; texture ... See more keywords

Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning

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recommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3199199

Abstract: Estimating physiological parameters - such as blood pressure (BP) - from raw sensor data captured by noninvasive, wearable devices rely on either burdensome manual feature extraction designed by domain experts to identify key waveform characteristics… read more here.

Keywords: driven guided; attention analysis; data driven; deep learning ... See more keywords

Gated Recursive and Sequential Deep Hierarchical Encoding for Detecting Incongruent News Articles

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recommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2023.3247445

Abstract: With the increase in misinformation across digital platforms, incongruent news detection is becoming an important research problem. Earlier, researchers have exploited various feature engineering approaches and deep learning models with embedding to capture incongruity between… read more here.

Keywords: hierarchical encoding; headline guided; incongruent news; news ... See more keywords

Multitask Multigranularity Aggregation With Global-Guided Attention for Video Person Re-Identification

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3183011

Abstract: The goal of video-based person re-identification (Re-ID) is to identify the same person across multiple non-overlapping cameras. The key to accomplishing this challenging task is to sufficiently exploit both spatial and temporal cues in video… read more here.

Keywords: global guided; aggregation; person; multi ... See more keywords

Context-Aware Guided Attention Based Cross-Feedback Dense Network for Hyperspectral Image Super-Resolution

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

DOI: 10.1109/tgrs.2022.3180484

Abstract: Convolutional neural networks (CNNs) have shown impressive performance in computer vision due to their nonlinearity. Particularly, DenseNet (DN) that facilitates feature reuse in a feedforward (FF) manner has achieved state-of-the-art reconstruction accuracy for super-resolution (SR).… read more here.

Keywords: network; guided attention; super resolution; aware guided ... See more keywords

Spectral–Spatial Synergy Guided Attention Network for Hyperspectral Image Classification

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3603397

Abstract: The attention mechanism has gained significant popularity in hyperspectral image classification (HSIC) for its ability to adaptively highlight key features. However, it often incurs expensive computational costs due to the iterative operations. Moreover, the high… read more here.

Keywords: image classification; hyperspectral image; attention; spectral spatial ... See more keywords

FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces

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recommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2022.3149899

Abstract: Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received significant attention for overcoming the… read more here.

Keywords: network; guided attention; fnirs guided; eeg fnirs ... See more keywords

The Functional Consequences of Social Attention for Memory-guided Attention Orienting and Anticipatory Neural Dynamics

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recommendations! Published in 2019 at "Journal of Cognitive Neuroscience"

DOI: 10.1162/jocn_a_01379

Abstract: Social attention when viewing natural social (compared with nonsocial) images has functional consequences on contextual memory in healthy human adults. In addition to attention affecting memory performance, strong evidence suggests that memory, in turn, affects… read more here.

Keywords: memory guided; guided attention; functional consequences; attention ... See more keywords

GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames

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recommendations! Published in 2022 at "Diagnostics"

DOI: 10.3390/diagnostics13010123

Abstract: Colorectal Cancer is one of the most common cancers found in human beings, and polyps are the predecessor of this cancer. Accurate Computer-Aided polyp detection and segmentation system can help endoscopists to detect abnormal tissues… read more here.

Keywords: gar net; guided attention; polyp segmentation; segmentation ... See more keywords