Learning to Teach and Learn for Semi-supervised Few-shot Image Classification

Li, Xinzhe; Huang, Jianqiang; Liu, Yaoyao; Zhou, Qin; Zheng, Shibao; Schiele, Bernt; Sun, Qianru

doi:10.1016/j.cviu.2021.103270

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Learning to Teach and Learn for Semi-supervised Few-shot Image Classification

Li, X., Huang, J., Liu, Y., Zhou, Q., Zheng, S., Schiele, B., et al. (2021). Learning to Teach and Learn for Semi-supervised Few-shot Image Classification. Computer Vision and Image Understanding, 212: 103270. doi:10.1016/j.cviu.2021.103270.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-7BA7-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2176-8

Genre: Journal Article

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Creators:
Li, Xinzhe¹, Author
Huang, Jianqiang¹, Author
Liu, Yaoyao², Author
Zhou, Qin¹, Author
Zheng, Shibao¹, Author
Schiele, Bernt², Author
Sun, Qianru¹, Author

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1External Organizations, ou_persistent22
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547

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Language(s): eng - English

Dates: Published Online: 2021Date issued: 2021

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.cviu.2021.103270
BibTex Citekey: Li2021

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Title: Computer Vision and Image Understanding

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 212 Sequence Number: 103270 Start / End Page: - Identifier: ISSN: 1077-3142
CoNE: https://pure.mpg.de/cone/journals/resource/1077-3142