Results 31 to 40 of about 6,790,954 (296)
Densely attention mechanism based network for COVID-19 detection in chest X-rays
Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale screening and epidemic control. However, the radiographic features of CXR have different composite appearances, for instance, diffuse reticular-nodular opacities ...
Latif, Siddique +3 more
core +1 more source
Object Detection Algorithm Based on Multiheaded Attention
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
doaj +1 more source
Research progress in attention mechanism in deep learning
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
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]
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
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
Graph Attention Diffusion Method Combining Diffusion Mechanism and Graph Attention Mechanism
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
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
Anaphora Resolution Algorithm Based on Multilayer Attention Mechanism [PDF]
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
Toward the mechanisms of auditory attention [PDF]
Since the earliest studies of auditory cortex, it has been clear that an animal's behavioral or attentional state can play a crucial role in shaping the response characteristics of single neurons. Much of what has been learned about attention has been made using human and animal models, but little is known about the cellular and synaptic mechanisms by ...
Tomás, Hromádka, Anthony M, Zador
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