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Published in 2019 at "Psychological Research"
DOI: 10.1007/s00426-019-01161-x
Abstract: Previous research has shown that visual working memory (VWM) can be modulated by space-based or feature-based attentional selection. However, it remains unclear how the two modes of attention operate jointly to affect VWM, and in…
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Keywords:
task;
based attention;
attention;
feature based ... See more keywords
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Published in 2020 at "Cortex"
DOI: 10.1016/j.cortex.2020.04.009
Abstract: When attending to visual objects with particular features, neural processing is typically biased toward those features. Previous work has suggested that maintaining such feature-based attentional sets may involve the same neural resources as visual working…
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Keywords:
based attention;
feature based;
working memory;
memory ... See more keywords
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Published in 2022 at "Cortex"
DOI: 10.1016/j.cortex.2022.02.013
Abstract: Valdes-Sosa, Cobo, and Pinilla (1998) introduced a transparent-motion design that provided evidence of object-based attention whereby attention embraces all features of an attentionally cued perceptual object including new unpredictable features such as a brief translation.…
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Keywords:
feature;
object;
object based;
based attention ... See more keywords
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Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-020-20589-z
Abstract: Although objects are the fundamental units of our representation interpreting the environment around us, it is still not clear how we handle and organize the incoming sensory information to form object representations. By utilizing previously…
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Keywords:
visual chunks;
statistically defined;
defined visual;
object based ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3038770
Abstract: Aiming at the problem that the traditional collaborative filtering algorithm using shallow models cannot learn the deep features of users and items, and the recommendation model is very susceptible to the counter-interference of its parameters;…
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Keywords:
adversarial learning;
model;
collaborative filtering;
recommendation ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108453
Abstract: Photovoltaic (PV) output power is significantly random and fluctuating due to its sensitivity to meteorological factors, making PV power forecasting a big challenge. Accurate short-term PV power forecasting plays a crucial role for the stable…
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Keywords:
power forecasting;
based attention;
spatial temporal;
power ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193669
Abstract: In ship detection based on optical images, the system typically needs to handle small-scale targets in complex environments owing to special application scenarios, and small-scale targets are easily ignored after a multi-layer convolution is applied…
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Keywords:
small scale;
detection based;
detection;
based attention ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3282110
Abstract: Despite the significant advantages of communication systems between electronic control units, the controller area network (CAN) protocol is vulnerable to attacks owing to its weak security structure. The persistent development of intrusion detection systems (IDS)…
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Keywords:
intrusion detection;
network;
based attention;
transformer based ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3186588
Abstract: Remote sensing image scene classification plays a significant role in remote sensing image analysis. Aiming at the problems of large transformation and scale variation of background and key objects in remote sensing images, we propose…
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Keywords:
scene classification;
remote sensing;
search;
based attention ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3170989
Abstract: Surface defect inspection is necessary for the production of magnetic tiles. Automated inspection based on machine vision and artificial intelligence can greatly improve the efficiency. However, collecting sufficient defect samples and marking them require a…
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Keywords:
tile;
unsupervised defect;
defect segmentation;
based attention ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2418850
Abstract: Cropland extraction from remote sensing images is an essential part of precise digital agriculture services. This paper proposed an SSGNet network of multiscale fused extraction of cropland based on the attention mechanism to address issues…
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Keywords:
remote sensing;
extraction;
cropland;
sensing images ... See more keywords