Modular domain-to-domain translation network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04358-8
Abstract: Domain-to-domain translation methods map images from a source domain to corresponding images from a target domain. The two domains contain images from the same classes, but these images look different. Recent approaches use generative adversarial… read more here.
Keywords: domain translation; network; target domain; domain domain ... See more keywords
Multistage transfer learning technique for classifying rare medical datasets
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-02989-1
Abstract: It is said that about 8% of the people across the world are impacted by different kinds of rare diseases. Identifying such rare diseases accurately is a challenging task, as they exhibit common symptoms that… read more here.
Keywords: domain dataset; transfer learning; medical datasets; domain ... See more keywords
Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3077271
Abstract: Accurate segmentation of the polyps from colonoscopy images provides useful information for the diagnosis and treatment of colorectal cancer. Despite deep learning methods advance automatic polyp segmentation, their performance often degrades when applied to new… read more here.
Keywords: polyp segmentation; segmentation; mutual prototype; domain ... See more keywords
Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3219893
Abstract: Unsupervised multi-source domain adaptation aims to obtain a model working well on the unlabeled target domain by reducing the domain gap between the labeled source domains and the unlabeled target domain. Considering the data privacy… read more here.
Keywords: domain adaptation; multi source; target domain; domain ... See more keywords
Cross-Domain Scene Classification by Integrating Multiple Incomplete Sources
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DOI: 10.1109/tgrs.2020.3034344
Abstract: Cross-domain scene classification identifies scene categories by learning knowledge from a labeled data set (source domain) to an unlabeled data set (target domain), where the source data and the target data are sampled from different… read more here.
Keywords: cross domain; target domain; source; unknown categories ... See more keywords
Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3235886
Abstract: Multitarget domain adaptation (MTDA) is a transfer learning task that uses knowledge extracted from a labeled source domain to adapt across multiple unlabeled target domains. The MTDA setting is more complicated than the single-source-single-target domain… read more here.
Keywords: domain adaptation; target domain; domain; source ... See more keywords
Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3212415
Abstract: Deep transfer learning-based fault diagnosis has been developed to correct the data distribution shift, promoting a diagnosis knowledge transfer across related machines. However, there are two weaknesses: first, the assumption that all the target domain… read more here.
Keywords: adaptation; transfer; target domain; diagnosis ... See more keywords
Adversarial Multiple-Target Domain Adaptation for Fault Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3009341
Abstract: Data-driven fault classification methods are receiving great attention as they can be applied to many real-world applications. However, they work under the assumption that training data and testing data are drawn from the same distribution.… read more here.
Keywords: multiple target; adaptation; source; target ... See more keywords
A Fusing Domain Feature and Sharing Label Space-Based Fault Diagnosis Approach for Different Distribution and Unlabeled Rolling Bearing Sample
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3273682
Abstract: As the different distributions between the source and target domains, rolling bearing fault diagnosis based on domain adaptation (DA) has achieved a good result in unlabeled sample fault diagnosis of target domain. However, most transfer… read more here.
Keywords: domain; fault diagnosis; target; target domain ... See more keywords
Domain Shift Preservation for Zero-Shot Domain Adaptation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3084354
Abstract: In learning-based image processing a model that is learned in one domain often performs poorly in another since the image samples originate from different sources and thus have different distributions. Domain adaptation techniques alleviate the… read more here.
Keywords: domain; domain adaptation; target domain; domain shift ... See more keywords
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3152052
Abstract: Multi-source domain adaptation (MDA) aims to transfer knowledge from multiple source domains to an unlabeled target domain. MDA is a challenging task due to the severe domain shift, which not only exists between target and… read more here.
Keywords: multi source; pseudo target; source; target ... See more keywords