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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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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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Object Detection Algorithm Based on Multiheaded Attention
Applied Sciences, 2019 This study proposes a multiheaded object detection algorithm referred to as MANet. The main purpose of the study is to integrate feature layers of different scales based on the attention mechanism and to enhance contextual connections.
Jie Jiang +3 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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Research progress in attention mechanism in deep learning
工程科学学报, 2021 There are two challenges with the traditional encoder–decoder framework. First, the encoder needs to compress all the necessary information of a source sentence into a fixed-length vector.
Jian-wei LIU, Jun-wen LIU, Xiong-lin LUO
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Action–based mechanisms of attention
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1998 Actions, which have effects in the external world, must be spatiotopically represented in the brain. The brain is capable of representing space in many different forms (e.g. retinotopic–, environment–, head– or shoulder–centred), but we maintain that actions are represented in action–centred space, meaning that, at the cellular level, the direction of ...
S P, Tipper, L A, Howard, G, Houghton
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CAPN: a Combine Attention Partial Network for glove detection [PDF]
PeerJ Computer Science, 2023 Accidents caused by operators failing to wear safety gloves are a frequent problem at electric power operation sites, and the inefficiency of manual supervision and the lack of effective supervision methods result in frequent electricity safety accidents.
Feng Yu +4 more
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Attention Mechanism-Based Light-Field View Synthesis
IEEE Access, 2022 The angular information of light lost in conventional images but preserved and stored in light-fields plays an instrumental role in many applications such as depth estimation, 3D reconstruction and post-capture refocusing.
M. Shahzeb Khan Gul +4 more
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Graph Attention Diffusion Method Combining Diffusion Mechanism and Graph Attention Mechanism
AlgorithmsGraph neural networks have attracted much attention and performed well in many downstream tasks. However, due to issues such as oversmoothing, existing graph neural networks are limited in their ability to quantitatively exploit higher-order neighborhood
Xing Li +7 more
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