More recently , Silberer et al. ( 2013 ) show that visual attribute classifiers , which have been immensely successful in object recognition ( Farhadi et al. , 2009 ) , act as excellent substitutes for feature
describing objects by their attributes
Ali Farhadi Ian Endres Derek Hoiem David Forsyth
Bruni et al. ( 2012b ) show that the contextual visual words ( i.e. the visual features around an object , rather than of the object itself ) are even more useful at times , suggesting the plausibility of a sort of distributional hypothesis for images . More recently , Silberer et al. ( 2013 ) show that visual attribute classifiers , which have been immensely successful in object recognition ( Farhadi et al. , 2009 ) , act as excellent substitutes for feature norms .
More recently , Silberer et al. ( 2013 ) show that visual attribute classifiers , which have been immensely successful in object recognition ( @@CITATION ) , act as excellent substitutes for feature