May 15, 2018 · To address this problem, this paper proposes a novel co-segmentation approach that transfers patch-level local object shapes which appear more ...
Image co-segmentation is a challenging task in computer vision that aims to segment all pixels of the objects from a predefined semantic category.
Abstract. Image co-segmentation is a challenging computer vision task that aims to segment all pixels of the common objects in an image set.
This paper proposes a novel co-segmentation approach that transfers patch-level local object shapes, which appear more consistently across different images, ...
For easy of presentation, we use MCO to represent the proposed approach of multi-scale local shape transfer and SCO to denote a variant of turning the proposed ...
In this paper, however, we investigate a patch- level local shape transfer scheme that finds candidate lo- cal shape masks for each patch of a test image in ...
In this paper, we propose a multi-scale image co-segmentation algorithm to deal with local scale changes in the image group. The idea is to exploit the ...
Missing: Transfer. | Show results with:Transfer.
Given the foreground segmentation of only a subset of images, selected randomly, a simple local and global consistency propagation method is proposed to guide.
Abstract—This paper is concerned with the detection of low- level structure in images. It describes an algorithm for image segmentation at multiple scales.
The algorithm is designed to partition a given image into regions, corresponding to image structures, regardless of their shapes, sizes, and levels of interior ...