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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.10.007
Abstract: Saliency detection is the task of locating informative regions in an image, which is a challenging task in computer vision. In contrast to the existing saliency detection models that focus on either local or global…
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Keywords:
saliency;
detection;
shape;
saliency detection ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3265186
Abstract: Unsupervised domain adaptive land-cover classification has recently gained more and more attention. Unsupervised domain adaptation (UDA) aims to learn a model from the annotated source data and the unlabeled target data that can perform well…
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Keywords:
global diversity;
local consistency;
land;
domain ... See more keywords
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Published in 2017 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2017.00025
Abstract: In the current study, FOur-dimensional Consistency of local neural Activities (FOCA) analysis was used to investigate the local consistency by integrating the temporal and spatial information of the local region. In the current study, resting-state…
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Keywords:
schizophrenia;
analysis;
connectivity;
causal ... See more keywords