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 …

This paper is focused on the Co-segmentation problem [1]-where the objective is to segment
a similar object from a pair of images. The background in the two images may be arbitrary; …

We present an algorithm for Interactive Co-segmentation of a foreground object from a group
of related images. While previous works in co-segmentation have focussed on unsupervised …

Co-segmentation is defined as jointly partitioning multiple images depicting the same or
similar object, into foreground and background. Our method consists of a multiple-scale …

This paper presents an algorithm for Interactive Co-segmentation of a foreground object
from a group of related images. While previous approaches focus on unsupervised co …

Given a set of images which share an object from the same semantic category, we would
like to co-segment the shared object. We define'good'co-segments to be ones which can be …

We present a novel computational model for simultaneous image co-saliency detection and
co-segmentation that concurrently explores the concepts of saliency and objectness in …

Co-saliency is used to discover the common saliency on the multiple images, which is a
relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for …

A novel interactive image cosegmentation algorithm using likelihood estimation and higher
order energy optimization is proposed for extracting common foreground objects from a …

In this paper, we present a novel model for simultaneous stable co-saliency detection
(CoSOD) and object co-segmentation (CoSEG). To detect co-saliency (segmentation) …