Articles with "large training" as a keyword



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Frankenstein: Learning Deep Face Representations Using Small Data

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Published in 2018 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2017.2756450

Abstract: Deep convolutional neural networks have recently proven extremely effective for difficult face recognition problems in uncontrolled settings. To train such networks, very large training sets are needed with millions of labeled images. For some applications,… read more here.

Keywords: learning deep; deep face; frankenstein learning; large training ... See more keywords