Articles with "guided attention" as a keyword



Photo by vidarnm from unsplash

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

Sign Up to like & get
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
Photo from wikipedia

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

Sign Up to like & get
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
Photo by paipai90 from unsplash

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

Sign Up to like & get
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
Photo from wikipedia

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

Sign Up to like & get
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
Photo from wikipedia

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

Sign Up to like & get
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
Photo by kellysikkema from unsplash

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

Sign Up to like & get
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
Photo by flnkrs from unsplash

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

Sign Up to like & get
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
Photo by nasa from unsplash

DBE-Net: Dual Boundary-Guided Attention Exploration Network for Polyp Segmentation

Sign Up to like & get
recommendations!
Published in 2023 at "Diagnostics"

DOI: 10.3390/diagnostics13050896

Abstract: Automatic segmentation of polyps during colonoscopy can help doctors accurately find the polyp area and remove abnormal tissues in time to reduce the possibility of polyps transforming into cancer. However, the current polyp segmentation research… read more here.

Keywords: boundary guided; attention exploration; polyp segmentation; segmentation ... See more keywords