Weakly supervised learning of visual semantic attributes
There are at present many billions of images on the internet, only a fraction of which are labelled according to their semantic content. To automatically provide labels for the rest, models of visual semantic concepts must be created. Such models are traditionally trained using images which have bee...
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University of Bristol
2014
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687063 |