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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22821
Abstract: Change captioning is an emerging task to describe the changes between a pair of images. The difficulty in this task is to discover the differences between the two images. Recently, some methods have been proposed…
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Keywords:
change captioning;
change;
bidirectional difference;
semantic consistency ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2966220
Abstract: Most of the existing cross-modal retrieval methods make use of labeled data to learn projection matrices for different modal data. These methods usually learn the original semantic space to bridge the heterogeneous gap, ignoring the…
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Keywords:
semantic consistency;
cross modal;
modal retrieval;
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2
Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3214222
Abstract: Robust tracking has a variety of practical applications. Despite many years of progress, it is still a difficult problem due to enormous uncertainties in real-world scenes. To address this issue, we propose a robust anchor-free…
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Keywords:
robust tracking;
uncertainty aware;
uncertainty;
semantic consistency ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3193273
Abstract: Multimodal land cover classification (MLCC) using the optical and synthetic aperture radar (SAR) modalities has resulted in outstanding performances over using only unimodal data due to their complementary information on land properties. Previous multimodal deep…
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Keywords:
fusion;
land;
architecture;
semantic consistency ... See more keywords
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Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2903628
Abstract: Supervised methods have been widely used for image classifications. Although great progress has been made, existing supervised methods rely on well-labeled samples for classification. However, we often have large quantities of images with few or…
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Keywords:
unsupervised semi;
image classification;
semantic consistency;
image ... See more keywords