MCG is the package code that implements the algorithms presented in:
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Arbelaez P, Pont-Tuset J, Barron J, Marques F, Malik J, "Multiscale Combinatorial Grouping," Computer Vision and Pattern Recognition (CVPR) 2014.
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Pont-Tuset J, Arbelaez P, Barron J, Marques F, Malik J, "Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation," arXiv:1503.00848, March 2015.
Please consider citing the papers if you use this code.
CAUTION
The 'full' package is not completely up to date, use it only if you need to re-train the Pareto front or the ranking in MCG, then use 'pre-trained' to do the actual computations.
'Full' and 'Pre-Trained' packages not compatible with Windows.
More info in the project page: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/mcg/