Deep Ranking for Image Zero-Shot Multi-Label Classification

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, pp. 6549-6560, 2020.

Cited by: 0|Bibtex|Views101|DOI:https://doi.org/10.1109/TIP.2020.2991527
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

During the past decade, both multi-label learning and zero-shot learning have attracted huge research attention, and significant progress has been made. Multi-label learning algorithms aim to predict multiple labels given one instance, while most existing zero-shot learning approaches target at predicting a single testing label for each u...More

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