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Published in 2022 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-021-01549-6
Abstract: Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite limited. Addressing such problem, we present a novel domain-adaptive approach called…
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Keywords:
domain adaptive;
domain;
stereo matching;
adaptive stereo ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.004
Abstract: Abstract Convolutional neural networks (CNNs) have been widely used in end-to-end stereo matching networks in recent years. However, most stereo networks are not robust to variations in the environment and thus are difficult to be…
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Keywords:
stereo matching;
domain adaptive;
adaptive modules;
modules stereo ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-023-48594-4
Abstract: The emergence of long COVID during the ongoing COVID-19 pandemic has presented considerable challenges for healthcare professionals and researchers. The task of identifying relevant literature is particularly daunting due to the rapidly evolving scientific landscape,…
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Keywords:
classification;
text classification;
domain adaptive;
framework ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63501-1
Abstract: Underwater object detection based on side-scan sonar (SSS) suffers from a lack of finely annotated data. This study aims to avoid the laborious task of annotation by achieving unsupervised underwater object detection through domain-adaptive object…
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Keywords:
detection;
domain adaptive;
unsupervised underwater;
scan sonar ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94085-z
Abstract: Pre-trained language models have brought significant performance improvements in many natural language understanding tasks. Domain-adaptive language models, which are trained with a specific domain corpus, exhibit high performance in their target domains. However, pre-training these…
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Keywords:
language;
pre training;
domain adaptive;
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938837
Abstract: Traditional object detection methods always assume both of the training and test data follow the same distribution, but this cannot always be guaranteed in the real world. Domain adaptive methods are proposed to handle this…
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Keywords:
cycle consistent;
domain adaptive;
consistent domain;
source ... See more keywords
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1
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2976816
Abstract: End-to-end task-oriented dialog systems have attracted vast amounts of attention in recent years, mainly because of their ease of training. However, such an end-to-end model requires a large number of labeled dialogs to train. Labeled…
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Keywords:
dialog;
end end;
end;
domain adaptive ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034100
Abstract: Solar power forecasting is critical to ensure the safety and stability of the power grid with high photovoltaic power penetration. Machine learning methods are compelling in solar forecasting. These methods can capture the complex coupling…
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Keywords:
power forecasting;
domain adaptive;
power;
adaptive learning ... See more keywords
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1
Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3218453
Abstract: The use of transfer learning in brain-computer interfaces (BCIs) has potential applications. As electroencephalogram (EEG) signals vary among different paradigms and subjects, existing EEG transfer learning algorithms mainly focus on the alignment of the original…
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Keywords:
domain adaptive;
brain computer;
domain;
source ... See more keywords
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Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3348597
Abstract: In recent years, the unsupervised domain adaptation (UDA) technique has achieved remarkable success in cross-domain fault diagnosis of rotating machinery. In UDA, three pivotal pieces of information—namely, class labels, domain labels, and data structures, play…
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Keywords:
domain adaptive;
machinery;
fault diagnosis;
fault ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3592951
Abstract: Impulse radio ultrawideband (IR-UWB) radar shows great promise for uncrewed aerial vehicle (UAV) detection due to its high resolution, strong penetration, and robustness against multipath interference. However, effectively leveraging both spatially static and temporally dynamic…
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Keywords:
uwb radar;
domain adaptive;
mamba;
radar ... See more keywords