Exploring category-agnostic clusters for open-set domain adaptation
Unsupervised domain adaptation has received significant attention in recent years. Most of existing works tackle the closed-set scenario, assuming that the source and target domains share the exactly same categories. In practice, nevertheless, a target domain often contains samples of classes unseen...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2020
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/6485 https://ink.library.smu.edu.sg/context/sis_research/article/7488/viewcontent/Pan_Exploring_Category_Agnostic_Clusters_for_Open_Set_Domain_Adaptation_CVPR_2020_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |