Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Schönfeld, Edgar; Ebrahimi, Sayna; Sinha, Samarth; Darrell, Trevor; Akata, Zeynep

doi:10.1109/CVPR.2019.00844.

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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Schönfeld, E., Ebrahimi, S., Sinha, S., Darrell, T., & Akata, Z. (2019). Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8239-8247). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.00844.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-9612-F Version Permalink: https://hdl.handle.net/21.11116/0000-0008-2952-E

Genre: Conference Paper

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Creators:
Schönfeld, Edgar¹, Author
Ebrahimi, Sayna¹, Author
Sinha, Samarth¹, Author
Darrell, Trevor¹, Author
Akata, Zeynep², Author

Affiliations:
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: Accepted: 2019Published Online: 2019

Publication Status: Published online

Pages: 9 p.

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Table of Contents: -

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Identifiers: BibTex Citekey: Schoenfeld_CVPR2109
DOI: 10.1109/CVPR.2019.00844.

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Title: 32nd IEEE Conference on Computer Vision and Pattern Recognition

Place of Event: Long Beach, CA, USA

Start-/End Date: 2019-06-16 - 2019-06-20

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Abbreviation : CVPR 2019

Source Genre: Proceedings

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Affiliations:

Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 8239 - 8247 Identifier: -