Residual UNet with Dual Attention—An ensemble residual UNet with dual attention for multi‐modal and multi‐class brain MRI segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22817
Abstract: In this paper, we have proposed a variant of UNet for brain magnetic resonance imaging (MRI) segmentation. The proposed model, termed as Residual UNet with Dual Attention (RUDA), addresses the two significant challenges of UNet:… read more here.
Keywords: dual attention; unet dual; multi; segmentation ... See more keywords
Dual Attention with the Self-Attention Alignment for Efficient Video Super-resolution
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09874-1
Abstract: By selectively enhancing the features extracted from convolution networks, the attention mechanism has shown its effectiveness for low-level visual tasks, especially for image super-resolution (SR). However, due to the spatiotemporal continuity of video sequences, simply… read more here.
Keywords: video; attention; self attention; attention alignment ... See more keywords
Grid Load Forecasting Based on Dual Attention BiGRU and DILATE Loss Function
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182334
Abstract: To learn the deep relationship implicit in load data and improve the accuracy of load prediction, this paper presents a new Seq2seq framework based on dual attention and a bidirectional gated recurrent unit (BiGRU). The… read more here.
Keywords: loss function; dual attention; loss; attention ... See more keywords
Printed Circuit Board Quality Detection Method Integrating Lightweight Network and Dual Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3198994
Abstract: Printed circuit boards are versatile and highly printed, which can be widely used in various fields, and also provide new opportunities for the development of electronic information equipment. However, it is difficult to detect defects… read more here.
Keywords: attention mechanism; dual attention; detection; printed circuit ... See more keywords
Dual Attention Network Approaches to Face Forgery Video Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215963
Abstract: Forged videos are commonly spread online. Most have malicious content and cause serious information security problems. The most critical issue in deepfake detection is the identification of traces of tampering in fake videos. This study… read more here.
Keywords: network; network approaches; dual attention; attention network ... See more keywords
A Visual Tracking Algorithm Combining Parallel Network and Dual Attention-Aware Mechanism
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3245526
Abstract: In order to solve the problems of semantic loss and inaccurate boundary detection in the process of object tracking, a visual tracking algorithm combining parallel structure with dual attention-aware mechanism is proposed in this paper.… read more here.
Keywords: network; attention aware; dual attention; tracking algorithm ... See more keywords
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3220545
Abstract: Numerous studies have shown that accurate analysis of neurological disorders contributes to the early diagnosis of brain disorders and provides a window to diagnose psychiatric disorders due to brain atrophy. The emergence of geometric deep… read more here.
Keywords: network; dual attention; brain; deep manifold ... See more keywords
DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices
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.2022.3161190
Abstract: The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) that will be captured by… read more here.
Keywords: dual attention; cnn; vegetation indices; dat cnn ... See more keywords
Dual-Attention-Driven Multiscale Fusion Object Searching Network for Remote Sensing Imagery
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.2022.3207302
Abstract: Object search is a challenging yet important task. Many efforts have been made to address this issue and achieve great progress in natural image, yet searching all the specified types of objects from remote sensing… read more here.
Keywords: remote sensing; dual attention; object; search ... See more keywords
Feature Aggregation Networks Based on Dual Attention Capsules for Visual Object Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3063001
Abstract: Tracking-by-detection algorithms have considerably enhanced tracking performance with the introduction of recent convolutional neural networks (CNNs). However, most trackers directly exploit standard scalar-output CNN features, which may not capture enough feature encoding information, instead of… read more here.
Keywords: attention; feature; cnn features; feature aggregation ... See more keywords
Progressive Dual-Attention Residual Network for Salient Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3164093
Abstract: Due to the rapid development of deep learning, the performance of salient object detection has been constantly refreshed. Nevertheless, it is still challenging for existing methods to distinguish the location of salient objects and retain… read more here.
Keywords: network; salient object; dual attention; attention residual ... See more keywords