Results 21 to 30 of about 6,790,954 (296)
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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Attention: the mechanisms of consciousness. [PDF]
Proceedings of the National Academy of Sciences, 1994 A number of recent papers and books discuss theoretical efforts toward a scientific understanding of consciousness. Progress in imaging networks of brain areas active when people perform simple tasks may provide a useful empirical background for distinguishing conscious and unconscious information processing. Attentional networks include those involved
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The control of attention to faces [PDF]
, 2007 Humans attend to faces. This study examines the extent to which attention biases to faces are under top-down control. In a visual cueing paradigm, observers responded faster to a target probe appearing in the location of a face cue than of a competing ...
Schweinberger, S +18 more
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Object and feature based modelling of attention in meeting and surveillance videos [PDF]
, 2012 MPhilThe aim of the thesis is to create and validate models of visual attention. To this extent, a novel unsupervised object detection and tracking framework has been developed by the author.
Karlsson, Stefan
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Swarmic Sketches and Attention Mechanism [PDF]
, 2013 This paper introduces a novel approach deploying the mechanism of ‘attention’ by adapting a swarm intelligence algorithm – Stochastic Diffusion Search – to selectively attend to detailed areas of a digital canvas. Once the attention of the swarm is drawn to a certain line within the canvas, the capability of another swarm intelligence algorithm ...
Mohammad Majid al-Rifaie +1 more
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Joint Attention Mechanism for Person Re-Identification
IEEE Access, 2019 Although person re-identification (ReID) has drawn increasing research attention due to its potential to address the problem of analysis and processing of massive monitoring data, it is very challenging to learn discriminative information when the people
Shanshan Jiao +5 more
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Toward understanding the effectiveness of attention mechanism
AIP Advances, 2023 Attention mechanism (AM) is a widely used method for improving the performance of convolutional neural networks (CNNs) on computer vision tasks. Despite its pervasiveness, we have a poor understanding of what its effectiveness stems from. It is popularly
Xiang Ye, Zihang He, Wang Heng, Yong Li
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