# mcg

**Repository Path**: holasyb/mcg

## Basic Information

- **Project Name**: mcg
- **Description**: Multiscale Combinatorial Grouping - Object Proposals and Segmentation
- **Primary Language**: Matlab
- **License**: GPL-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-25
- **Last Updated**: 2024-07-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

For faster (0.8s/image) and improved hierarchical segmentation and proposals see "Convolutional Oriented Boundaries", ECCV 2016: http://www.vision.ee.ethz.ch/~cvlsegmentation/cob/


**Multiscale Combinatorial Grouping**

MCG is the package code that implements the algorithms presented in:
 - Pont-Tuset J, Arbelaez P, Barron J, Marques F, Malik J,
 "Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation,"
 TPAMI 2016.

 - Arbelaez P, Pont-Tuset J, Barron J, Marques F, Malik J,
 "Multiscale Combinatorial Grouping,"
 CVPR 2014.

Please consider citing the papers if you use this code.

More info in the project page:
http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/mcg/

**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.**