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We address two key issues of co-segmentation over multiple images. The first is whether a pure unsupervised algorithm can satisfactorily solve this problem. Without the user's guidance, segmenting the foregrounds implied by the common object is quite a challenging task, especially when substantial variations in the object's appearance, shape, and scale are allowed. The second issue concerns the efficiency if the technique can lead to practical uses. With these in mind, we establish an MRFdoi:10.1109/cvpr.2011.5995415 dblp:conf/cvpr/ChangLL11 fatcat:fipghtltqnealbnm2dtrb6edcy