Articles with "domain adaptive" as a keyword



AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach

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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… read more here.

Keywords: domain adaptive; domain; stereo matching; adaptive stereo ... See more keywords
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Domain-adaptive modules for stereo matching network

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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… read more here.

Keywords: stereo matching; domain adaptive; adaptive modules; modules stereo ... See more keywords

Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework

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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,… read more here.

Keywords: classification; text classification; domain adaptive; framework ... See more keywords

Unsupervised underwater shipwreck detection in side-scan sonar images based on domain-adaptive techniques

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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… read more here.

Keywords: detection; domain adaptive; unsupervised underwater; scan sonar ... See more keywords

Subset selection for domain adaptive pre-training of language model

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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… read more here.

Keywords: language; pre training; domain adaptive;

Cycle-Consistent Domain Adaptive Faster RCNN

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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… read more here.

Keywords: cycle consistent; domain adaptive; consistent domain; source ... See more keywords

DAFA: Dialog System Domain Adaptation With a Filter and an Amplifier

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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… read more here.

Keywords: dialog; end end; end; domain adaptive ... See more keywords

Solar Power Forecasting Based on Domain Adaptive Learning

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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… read more here.

Keywords: power forecasting; domain adaptive; power; adaptive learning ... See more keywords

Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces

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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… read more here.

Keywords: domain adaptive; brain computer; domain; source ... See more keywords

Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network

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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… read more here.

Keywords: domain adaptive; machinery; fault diagnosis; fault ... See more keywords

Domain-Adaptive UAV Recognition Using IR-UWB Radar and a Lightweight Mamba-Based Network

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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… read more here.

Keywords: uwb radar; domain adaptive; mamba; radar ... See more keywords