Differentiated learning for multi-modal domain adaptation
Directly deploying a trained multi-modal classifier to a new environment usually leads to poor performance due to the well-known domain shift problem. Existing multi-modal domain adaptation methods treated each modality equally and optimize the sub-models of different modalities synchronously. Howev...
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Main Authors: | LV, Jianming, LIU, Kaijie, HE, Shengfeng |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8529 https://ink.library.smu.edu.sg/context/sis_research/article/9532/viewcontent/Differentiated_learning_for_multi_modal_domain_adaptation.pdf |
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Institution: | Singapore Management University |
Language: | English |
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