Matlab code Group-Saliency-Propagation-for-Co-segmentation

A co-segmentation method that appears in ICIP'15 as oral paper
Updated 9 Sep 2018

Most of the existing co-segmentation methods are usually
complex, and require pre-grouping of images, fine-tuning a
few parameters and initial segmentation masks etc. These
limitations become serious concerns for their application on
large-scale datasets. In this paper, Group Saliency Propagation
(GSP) model is proposed where a single group saliency
map is developed, which can be propagated to segment the
entire group. In addition, it is also shown how a pool of these
group saliency maps can help in quickly segmenting new
input images. Experiments demonstrate that the proposed
method can achieve competitive performance on several
benchmark co-segmentation datasets including ImageNet,
with the added advantage of speed up.

Cite As

Koteswar Rao Jerripothula (2024). Matlab code Group-Saliency-Propagation-for-Co-segmentation (, GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
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Version Published Release Notes

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.