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Attributes act as intermediate representations that enable parameter sharing between classes, a must when training data is scarce.
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Label-Embedding for Attribute-Based Classification
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What’s in a name? first names as facial attributes
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DeViSE: A deep visual-semantic embedding model
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Attribute-based detection of unfamiliar classes with humans in the loop
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F. Yu, L. Cao, R. Feris, J. Smith, and S.-F. Chang · 2013
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COSTA: Co-occurrence statistics for zero-shot classification
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Understanding Machine Learning: From Theory to Algorithms
S. Shalev-Shwartz and S. Ben-David · 2014
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Attribute-based transfer learning for object categorization with zero or one training example
X. Yu and Y. Aloimonos · 2014
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Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele · 2015
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