DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets

CVPR 2015 Sukrit ShankarVikas K. GargRoberto Cipolla

Most of the approaches for discovering visual attributes in images demand significant supervision, which is cumbersome to obtain. In this paper, we aim to discover visual attributes in a weakly supervised setting that is commonly encountered with contemporary image search engines... (read more)

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