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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3484761
Abstract: Standard domain adaptation methods require access to both source and target data. However, sharing source data is often impractical in real-world scenarios due to data privacy and memory limitation issues. In this work, we focus…
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Keywords:
adaptation;
source free;
free domain;
domain adaptation ... See more keywords
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Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3611799
Abstract: Source-free domain adaptation (SFDA) aims to address the challenge of adapting to a target domain without accessing the source domain directly. However, due to the inaccessibility of source domain data, deterministic invariable features cannot be…
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Keywords:
domain;
source free;
free domain;
source ... See more keywords
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Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3590903
Abstract: With growing privacy and portability concerns, source-free domain adaptation requires only a source pre-trained model and an unlabeled target domain, allowing for effective adaptation to the target data. Most existing self-training methods focus on selecting…
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Keywords:
adaptation;
source free;
free domain;
division ... See more keywords