Results 21 to 30 of about 7,179,186 (303)

Research progress in attention mechanism in deep learning

open access: yes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
doaj   +1 more source

Action–based mechanisms of attention

open access: yesPhilosophical 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
openaire   +3 more sources

CAPN: a Combine Attention Partial Network for glove detection [PDF]

open access: yesPeerJ 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
doaj   +2 more sources

Attention Mechanism-Based Light-Field View Synthesis

open access: yesIEEE 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
doaj   +1 more source

Channel attention and spatial attention mechanism of CBAM.

open access: yes, 2023
Channel attention and spatial attention mechanism of CBAM.
Qihang Li (8931125)   +5 more
core   +1 more source

Graph Attention Diffusion Method Combining Diffusion Mechanism and Graph Attention Mechanism

open access: yesAlgorithms
Graph 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
doaj   +1 more source

Keyphrase Generation Based on Deep Seq2seq Model

open access: yesIEEE Access, 2018
Keyphrase can provide highly summative information which can help us improve information utilization efficiency in the era of information overload. Though previous researches about keyphrase generation have provided some workable solutions, they generate
Yong Zhang, Weidong Xiao
doaj   +1 more source

Multiple-Attention Mechanism Network for Semantic Segmentation

open access: yesSensors, 2022
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network (MANet) for semantic segmentation in a very effective and efficient way.
Dongli Wang   +5 more
doaj   +1 more source

Anaphora Resolution Algorithm Based on Multilayer Attention Mechanism [PDF]

open access: yesJisuanji gongcheng, 2020
In the information extraction process,the nondeterministic anaphora can cause incomplete information extraction.By analyzing the only discriminate information generated by the anaphoric part,the referenced part,the surrounding information,the referenced ...
LIU Yujiang, FU Lijun, LIU Junming, Lü Pengfei
doaj   +1 more source

IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism

open access: yesJournal of Big Data, 2021
Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. A cyber attack can be directed by individuals, communities, states or even from an anonymous source.
FatimaEzzahra Laghrissi   +3 more
doaj   +1 more source

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