Browsing Department of Computational and Data Sciences (CDS) by Subject "Absence of training data"
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Data-efficient Deep Learning Algorithms for Computer Vision Applications
The performance of any deep learning model depends heavily on the quantity and quality of the available training data. The generalization of the trained deep models improves with the availability of a large number of ...