Attention‐guided duplex adversarial U‐net for pancreatic segmentation from computed tomography images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13537
Abstract: Abstract Purpose Segmenting the organs from computed tomography (CT) images is crucial to early diagnosis and treatment. Pancreas segmentation is especially challenging because the pancreas has a small volume and a large variation in shape.… read more here.
Keywords: computed tomography; guided duplex; attention guided; segmentation ... See more keywords
Attention‐guided adaptation factors for unsupervised facial domain adaptation
Sign Up to like & getrecommendations! Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2020.0278
Abstract: In this Letter, the authors introduce attention-guided domain adaptation networks for face recognition under the unsupervised setting. Recently, there has been a dramatic increase in demand for real-world face recognition problems under severe domain shifts.… read more here.
Keywords: attention guided; domain adaptation; adaptation; adaptation factor ... See more keywords
Molecular property prediction by contrastive learning with attention-guided positive sample selection
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad258
Abstract: Abstract Motivation Predicting molecular properties is one of the fundamental problems in drug design and discovery. In recent years, self-supervised learning (SSL) has shown its promising performance in image recognition, natural language processing, and single-cell… read more here.
Keywords: sample; attention guided; contrastive learning; molecular property ... See more keywords
Classification of major depressive disorder using an attention-guided unified deep convolutional neural network and individual structural covariance network.
Sign Up to like & getrecommendations! Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhac217
Abstract: Major depressive disorder (MDD) is the second leading cause of disability worldwide. Currently, the structural magnetic resonance imaging-based MDD diagnosis models mainly utilize local grayscale information or morphological characteristics in a single site with small… read more here.
Keywords: network; classification; covariance; attention guided ... See more keywords
Attention-Guided Coarse-to-Fine Network for 2D Face Alignment in the Wild
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930304
Abstract: Methods based on stacked hourglass networks (SHNs) have achieved great progress in face alignment tasks. However, most of these algorithms have met with limited success in modeling correlations among features. Visual attention mechanisms have shown… read more here.
Keywords: face alignment; attention; network; attention guided ... See more keywords
An Attention Guided Semi-Supervised Learning Mechanism to Detect Electricity Frauds in the Distribution Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3042636
Abstract: Electricity theft is one of the main causes of non-technical losses and its detection is important for power distribution companies to avoid revenue loss. The advancement of traditional grids to smart grids allows a two-way… read more here.
Keywords: attention guided; semi supervised; electricity frauds; distribution ... See more keywords
Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3161466
Abstract: Multimodal medical imaging plays a crucial role in the diagnosis and characterization of lesions. However, challenges remain in lesion characterization based on multimodal feature fusion. First, current fusion methods have not thoroughly studied the relative… read more here.
Keywords: fusion; deep supervision; multimodal fusion; attention guided ... See more keywords
Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3073935
Abstract: The recent applications of fully convolutional networks (FCNs) have shown to improve the semantic segmentation of very high resolution (VHR) remote-sensing images because of the excellent feature representation and end-to-end pixel labeling capabilities. While many… read more here.
Keywords: attention guided; attention; label refinement; semantic segmentation ... See more keywords
Detecting Fine-Grained Airplanes in SAR Images With Sparse Attention-Guided Pyramid and Class-Balanced Data Augmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3208928
Abstract: Airplane detection in synthetic aperture radar (SAR) images has drawn much attention owing to the success of deep learning methods. However, the development of fine-grained airplane detection in SAR images is still in a dilemma… read more here.
Keywords: sparse attention; class; attention guided; fine grained ... See more keywords
Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3056684
Abstract: Most of the existing single object trackers track the target in a unitary local search window, making them particularly vulnerable to challenging factors such as heavy occlusions and out-of-view movements. Despite the attempts to further… read more here.
Keywords: attention guided; single object; dynamic attention; trajectory ... See more keywords
DAHP: Deep Attention-Guided Hashing With Pairwise Labels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3070129
Abstract: To address the problem of inadequate feature extraction and binary code discrete optimization faced by deep hashing methods using a relaxation-quantization strategy, a novel deep attention-guided hashing method with pairwise labels (DAHP) is proposed to… read more here.
Keywords: deep attention; pairwise; attention guided; pairwise labels ... See more keywords