Self-Training Ensemble Networks for Zero-Shot Image Recognition

Meng Ye
Meng Ye

arXiv: Learning, Volume abs/1805.07473, 2018.

Cited by: 1|Bibtex|Views16
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Despite the advancement of supervised image recognition algorithms, their de- pendence on the availability of labeled data and the rapid expansion of image categories raise the significant challenge of zero-shot learning. Zero-shot learn- ing (ZSL) aims to transfer knowledge from labeled classes into unlabeled classes to reduce human labe...More

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