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Discovering object classes from images in a fully unsupervised way is an intrinsically ambiguous task; saliency detection approaches however ease the burden on unsupervised learning. We develop an algorithm for simultaneously localizing objects and discovering object classes via bottom-up (saliency-guided) multiple class learning (bMCL), and make the following contributions: (1) saliency detection is adopted to convert unsupervised learning into multiple instance learning, formulated asdoi:10.1109/cvpr.2012.6248057 dblp:conf/cvpr/ZhuWWCT12 fatcat:f62oxwaev5f5bjkcascvnvwhhm