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Published in 2022 at "Neurocomputing"
DOI: 10.1016/j.neucom.2022.02.019
Abstract: Recently, image dehazing task has achieved remarkable progress by convolutional neural network. However, those approaches mostly treat haze removal as a one-to-one problem and ignore the intra-domain gap. Therefore, haze distribution shift of the same…
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Keywords:
domain gap;
intra domain;
domain;
inter domain ... See more keywords
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2
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…
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Keywords:
domain adaptation;
multi source;
target domain;
domain ... See more keywords
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1
Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.48550/arxiv.2205.11888
Abstract: Unsupervised cross-modality medical image adaptation aims to alleviate the severe domain gap between different imaging modalities without using the target domain label. A key in this campaign relies upon aligning the distributions of source and…
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Keywords:
gap;
cross modality;
imbalance;
domain gap ... See more keywords