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Video Object Segmentation using Space-Time Memory Networks

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

ICCV 2019

[paper]

Video Object Segmentation using Space-Time Memory Networks (ICCV 2019)

- Requirements

  • python 3.6
  • pytorch 1.0.1.post2
  • numpy, opencv, pillow

- How to Use

Download weights

Place it the same folder with demo scripts
wget -O STM_weights.pth "https://www.dropbox.com/s/mtfxdr93xc3q55i/STM_weights.pth?dl=1"

Run

DAVIS-2016 validation set (Single-object)
python eval_DAVIS.py -g '1' -s val -y 16 -D [path/to/DAVIS]
DAVIS-2017 validation set (Multi-object)
python eval_DAVIS.py -g '1' -s val -y 17 -D [path/to/DAVIS]

- Reference

If you find our paper and repo useful, please cite our paper. Thanks!

Video Object Segmentation using Space-Time Memory Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
ICCV 2019

- Related Project

Fast Video Object Segmentation by Reference-Guided Mask Propagation
Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim
CVPR 2018

[paper] [github]

- Terms of Use

This software is for non-commercial use only. The source code is released under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) Licence (see this for details)