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Direct coupling analysis and the attention mechanism
BMC BioinformaticsProteins are involved in nearly all cellular functions, encompassing roles in transport, signaling, enzymatic activity, and more. Their functionalities crucially depend on their complex three-dimensional arrangement.
Francesco Caredda, Andrea Pagnani
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Image classification model based on large kernel attention mechanism and relative position self-attention mechanism [PDF]
PeerJ Computer Science, 2023 The Transformer has achieved great success in many computer vision tasks. With the in-depth exploration of it, researchers have found that Transformers can better obtain long-range features than convolutional neural networks (CNN). However, there will be
Siqi Liu +3 more
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Surface Defect Detection With Channel-Spatial Attention Modules and Bi-Directional Feature Pyramid
IEEE Access, 2023 The YOLOv5 network architecture prioritizes speed and efficiency, but this may limit its ability to capture intricate details of complex objects. To solve the problems of insufficient feature extraction ability and incomplete feature fusion in the YOLOv5
Haitao Xin, Kai Zhang
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Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
Mathematics, 2022 Recently, it has been demonstrated that the performance of an object detection network can be improved by embedding an attention module into it. In this work, we propose a lightweight and effective attention mechanism named multibranch attention (M3Att).
Guojun Mao +3 more
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Attention mechanism and skip-gram embedded phrases
Comparative Legilinguistics, 2023 This article examines common translation errors that occur in the translation of legal texts. In particular, it focuses on how German texts containing legal terminology are rendered into Modern Greek by the Google translation machine.
Panagiotis Krimpas, Christina Valavani
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User Trajectory Identification Model via Attention Mechanism [PDF]
Jisuanji kexue, 2022 Recently the application of location-based services has gradually become popular.It provides convenience in people's daily life,and also brings a great threat to personal privacy.The existing research shows that,with a large amount of historical ...
LI Hao, CAO Shu-yu, CHEN Ya-qing, ZHANG Min
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Enhanced Feature Descriptor Based on Attention Mechanism [PDF]
Jisuanji gongcheng, 2021 When the traditional manual method is used to obtain the feature descriptors,it can not guarantee the correct matching of the feature points in the nonlinear deformation state,and can not solve the problem of feature description when the image has large ...
CHEN Jia, HU Haobo, HE Ruhan, HU Xinrong
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A Regularized Attention Mechanism for Graph Attention Networks [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Machine learning models that can exploit the inherent structure in data have gained prominence. In particular, there is a surge in deep learning solutions for graph-structured data, due to its wide-spread applicability in several fields. Graph attention networks (GAT), a recent addition to the broad class of feature learning models in graphs, utilizes ...
Uday Shankar Shanthamallu +2 more
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Aspect-Based Fashion Recommendation With Attention Mechanism
IEEE Access, 2020 With the rapid growth of fashion e-commerce, fashion recommendation has become a main digital marketing tool that is built on customer reviews and ratings.
Weiqian Li, Bugao Xu
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Path-Wise Attention Memory Network for Visual Question Answering
Mathematics, 2022 Visual question answering (VQA) is regarded as a multi-modal fine-grained feature fusion task, which requires the construction of multi-level and omnidirectional relations between nodes.
Yingxin Xiang +5 more
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