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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Bibliographic Details
Main Authors: LV, Jianming, LIU, Kaijie, HE, Shengfeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
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