Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation
@article{Manjunath2020ImprovingTP, title={Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation}, author={Shashank Manjunath and Aitzaz Nathaniel and J. Druce and Stan German}, journal={ArXiv}, year={2020}, volume={abs/2008.05381} }
Recent advances in machine learning (ML) and computer vision tools have enabled applications in a wide variety of arenas such as financial analytics, medical diagnostics, and even within the Department of Defense. However, their widespread implementation in real-world use cases poses several challenges: (1) many applications are highly specialized, and hence operate in a \emph{sparse data} domain; (2) ML tools are sensitive to their training sets and typically require cumbersome, labor… CONTINUE READING
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