Interactive Image Segmentation via Backpropagating Refinement Scheme

Related tags

Deep LearningBRS-Interactive_segmentation
Overview

BRS: Interactive image segmentation

Code written by Won-Dong Jang

Contact: Won-Dong Jang, [email protected]

If you want to use this software, please cite:

Won-Dong Jang and Chang-Su Kim, "Interactive Image Segmentation via Backpropagating Refinement Scheme," CVPR 2019

The paper can be found at https://vcg.seas.harvard.edu/publications/interactive-image-segmentation-via-backpropagating-refinement-scheme

Quick start

BRS_demo.py performs segmentation using a user interface.

BRS_main.py runs the proposed BRS by generating user clicks iteratively.

Pre-trained model

Pre-computed results can be downloaded from https://www.dropbox.com/s/o5i2autfzfos1tk/BRS_DenseNet.caffemodel?dl=0

LICENSE

This program is released with a research only license.

Owner
Won-Dong Jang
I am a postdoc fellow in the School of Engineering and Applied Science at Harvard University.
Won-Dong Jang
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