most citedWeakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2011★ 6 cited

Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs

Nicolas Heess, Nicolas Le Roux, John Winn

We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled independently o…