Zero-Shot Classification with Discriminative Semantic Representation Learning

CVPR, pp. 5103-5111, 2017.

Cited by: 65|Bibtex|Views12
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Zero-shot learning, a special case of unsupervised domain adaptation where the source and target domains have disjoint label spaces, has become increasingly popular in the computer vision community. In this paper, we propose a novel zero-shot learning method based on discriminative sparse non-negative matrix factorization. The proposed ap...More

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