Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection

Meng Ye
Meng Ye

arXiv: Computer Vision and Pattern Recognition, Volume abs/1808.02474, 2019, Pages 3671-3675.

Cited by: 1|Bibtex|Views7|DOI:https://doi.org/10.1109/icip.2019.8803720
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Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

Zero-shot learning transfers knowledge from seen classes to novel unseen classes to reduce human labor of labelling data for building new classifiers. Much effort on zero-shot learning however has focused on the standard multi-class setting, the more challenging multi-label zero-shot problem has received limited attention. In this paper w...More

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