Interactive Image Segmentation via Backpropagating Refinement Scheme

Related tags

Deep Learning BRS-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.

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Comments
  • Concerning tiles during inference

    Concerning tiles during inference

    Hi,

    Thank you for sharing your amazing work. I have some questions concerning the tiles used during inference:

    1. What is the reason behind using large overlapping tiles on top of the result for entire image?
    2. What is the significance of using [480, 480] net size when tiling is used?
    3. Is there an opportunity to employ other tiling approaches, like reducing the amount of overlap between tiles?

    Thanks

    opened by vikasrs 0
  • training code

    training code

    hi, @wdjang, Thanks for your great work, and when will you plan to publish the training code. I'm very interested in your work^_^. Appreciative for your reply.

    opened by sz94 0
  • Using other models

    Using other models

    Hi, thanks for your brilliant work! I am interested in trying this interactive tool with my own pytorch model. However, your caffe model uses an input of 5 channels, whereas the diagram in your CVPR paper shows an input of 6 channels in your training-free conversion scheme. May I know what you use for the last channel of the concatenated input for generalized models?

    opened by danlim-wz 1
  • About Training

    About Training

    HI, I have used your great work on our own datasets(cloth segmentation), unfortunately, it happens pretty much bad cases. I want to figure it out, was it about the training data. Would you please update your training files if it is possible. Thank you.

    opened by ldfinfontainebleau 5
Owner
Won-Dong Jang
I am a postdoc fellow in the School of Engineering and Applied Science at Harvard University.
Won-Dong Jang
GitHub
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