Multi-label zero-shot learning
12 papers with code • 3 benchmarks • 2 datasets
The goal of multi-label classification task is to predict a set of labels in an image. As an extension of zero-shot learning (ZSL), multi-label zero-shot learning (ML-ZSL) is developed to identify multiple seen and unseen labels in an image.
Benchmarks
These leaderboards are used to track progress in Multi-label zero-shot learning
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NUS-WIDE
Open Images V4
Latest papers with no code
Transductive Multi-label Zero-shot Learning
Zero-shot learning has received increasing interest as a means to alleviate the often prohibitive expense of annotating training data for large scale recognition problems.
