Open-set domain adaptation by deconfounding domain gaps
Open-Set Domain Adaptation (OSDA) aims to adapt the model trained on a source domain to the recognition tasks in a target domain while shielding any distractions caused by open-set classes, i.e., the classes “unknown” to the source model. Compared to standard DA, the key of OSDA lies in the separati...
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Main Authors: | ZHAO, Xin, WANG, Shengsheng, SUN, Qianru |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7556 https://ink.library.smu.edu.sg/context/sis_research/article/8559/viewcontent/Open_Set_Domain_Adaptation_by_Deconfounding_Domain_Gaps__NeuroComputing_.pdf |
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Institution: | Singapore Management University |
Language: | English |
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