Transferrable prototypical networks for unsupervised domain adaptation

Transferrable prototypical networks for unsupervised domain adaptation

In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform classification via a remold of the distances to the prototype of each class. Specifically, we present Transferrable Prototypical Networks (TPN)...

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Bibliographic Details
Main Authors: PAN, Yingwei, YAO, Ting, LI, Yehao, WANG, Yu, NGO, Chong-wah, MEI, Tao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Categorization
Recognition: Detection
Retrieval
Computer Sciences
OS and Networks
Online Access:https://ink.library.smu.edu.sg/sis_research/6449
https://ink.library.smu.edu.sg/context/sis_research/article/7452/viewcontent/Pan_Transferrable_Prototypical_Networks_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6449
https://ink.library.smu.edu.sg/context/sis_research/article/7452/viewcontent/Pan_Transferrable_Prototypical_Networks_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf

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