Mix-DANN and dynamic-modal-distillation for video domain adaptation

Video domain adaptation is non-trivial due to video is inherently involved with multi-dimensional and multi-modal information. Existing works mainly adopt adversarial learning and self-supervised tasks to align features. Nevertheless, the explicit interaction between source and target in the tempora...

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Main Authors: YIN, Yuehao, ZHU, Bin, CHEN, Jingjing, CHENG, Lechao, JIANG, Yu-Gang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/9015
https://ink.library.smu.edu.sg/context/sis_research/article/10018/viewcontent/_ACM_MM_2022__MD_DMD.pdf
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Institution: Singapore Management University
Language: English
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