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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5533-9
Abstract: According to the lack of spatio-temporal information of convolution neural network abstraction, an online visual tracking algorithm based on convolution neural network is proposed, combining the spatio-temporal context model to the order filter of convolution…
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Keywords:
network;
spatio temporal;
temporal context;
convolution ... See more keywords
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Published in 2017 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-017-1033-7
Abstract: In this work, we introduce Video Question Answering in the temporal domain to infer the past, describe the present and predict the future. We present an encoder–decoder approach using Recurrent Neural Networks to learn the…
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Keywords:
video;
question;
temporal context;
video question ... See more keywords
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Published in 2017 at "Current Opinion in Behavioral Sciences"
DOI: 10.1016/j.cobeha.2017.06.004
Abstract: Memory for personally experienced events includes temporal context that allows organization and retrieval according to sequence. This review compares fMRI studies of temporal context, assessing the processes required within each paradigm. Prefrontal cortex is important…
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Keywords:
context human;
human fmri;
context;
temporal context ... See more keywords
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Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2019.116277
Abstract: Human visual perception is modulated by both temporal and spatial contexts. One type of modulation is apparent in the temporal context effect (TCE): In the presence of a constant luminance patch (a long flash), the…
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Keywords:
context;
human visual;
visual cortex;
temporal context ... See more keywords
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Published in 2022 at "Behavioral Neuroscience"
DOI: 10.1037/bne0000513
Abstract: Sensory perception, motor control, and cognition necessitate reliable timing in the range of milliseconds to seconds, which implies the existence of a highly accurate timing system. Yet, partly owing to the fact that temporal processing…
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Keywords:
bayesian models;
interval timing;
timing recent;
temporal context ... See more keywords
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Published in 2023 at "Physiological measurement"
DOI: 10.1088/1361-6579/acdb46
Abstract: OBJECTIVE Sleep staging studies on single-channel EEG mainly exploit deep learning methods combining convolutional neural networks and recurrent neural networks. However, when typical brain waves (such as K-complexes or sleep spindles) that identify sleep stages…
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Keywords:
boundary temporal;
context refinement;
temporal context;
context ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3176858
Abstract: In recent days, change detection has become one of the central tasks for remote sensing image analyses. Due to the powerful discriminative abilities, various convolutional-based approaches have been applied and shown favorable performance in change…
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Keywords:
change detection;
remote sensing;
context;
temporal context ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3276333
Abstract: In contrast to image compression, the key of video compression is to efficiently exploit the temporal context for reducing the inter-frame redundancy. Existing learned video compression methods generally rely on utilizing short-term temporal correlations or…
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Keywords:
learned video;
compression efficient;
temporal context;
compression ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6104736
Abstract: Sleep stage classification is essential in diagnosing and treating sleep disorders. Many deep learning models have been proposed to classify sleep stages by automatic learning features and temporal context information. These temporal context features come…
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Keywords:
temporal features;
sleep stage;
stage classification;
temporal context ... See more keywords
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Published in 2022 at "Cognition"
DOI: 10.31234/osf.io/j32bn
Abstract: Event boundaries and temporal context shape the organization of episodic memories. We hypothesized that attentional fluctuations during encoding serve as "events" that affect temporal context representations and recall organization. Individuals encoded trial-unique objects during a…
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Keywords:
recall;
zone zone;
temporal context;
organization ... See more keywords
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Published in 2019 at "Algorithms"
DOI: 10.3390/a12010008
Abstract: Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual object tracking. However, visual tracking is still challenging when the target objects undergo complex scenarios such as occlusion, deformation, scale changes and illumination…
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Keywords:
algorithm;
response;
visual tracking;
temporal context ... See more keywords