Overcoming challenges in leveraging GANs for few-shot data augmentation

In this paper, we explore the use of GAN-based few-shot data augmentation as a method to improve few-shot classification performance. We perform an exploration into how a GAN can be fine-tuned for such a task (one of which is in a class-incremental manner), as well as a rigorous empirical investigat...

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Bibliographische Detailangaben

Hauptverfasser:	Beckham, Christopher, Laradji, Issam, Rodriguez, Pau, Vazquez, David, Nowrouzezahrai, Derek, Pal, Christopher
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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