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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22957
Abstract: Over the years, a number of semisupervised deep‐learning algorithms have been proposed for time‐series classification (TSC). In semisupervised deep learning, from the point of view of representation hierarchy, semantic information extracted from lower levels is…
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Keywords:
semantic information;
time series;
selfmatch;
robust semisupervised ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185088
Abstract: The increase in self-supervised learning (SSL), especially contrastive learning, has enabled one to train deep neural network models with unlabeled data for remote sensing image (RSI) scene classification. Nevertheless, it still suffers from the following…
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Keywords:
scene classification;
remote sensing;
architecture;
contrastive learning ... See more keywords