Official implementation of Pixel-Level Bijective Matching for Video Object Segmentation

Last update: Dec 14, 2022

Overview

BMVOS

This is the official implementation of Pixel-Level Bijective Matching for Video Object Segmentation, to appear in WACV 2022.

@article{cho2021pixel,
  title={Pixel-Level Bijective Matching for Video Object Segmentation},
  author={Cho, Suhwan and Lee, Heansung and Kim, Minjung and Jang, Sungjun and Lee, Sangyoun},
  journal={arXiv preprint arXiv:2110.01644},
  year={2021}
}

Benchmark Results

Architecture

Download

[pre-computed results]

[pre-trained model on DAVIS]

[pre-trained model on YouTube-VOS]

Usage

Define the paths in 'local_config.py'.
Select the pre-trained model and testing dataset by modifying 'main_runfile.py'.
Run BMVOS!

python main_runfile.py

Note

Code and models are only available for non-commercial research purposes.

If you have any questions, please feel free to contact me :)

E-mail: [email protected]

Owner

Suhwan Cho

M.S/Ph.D. Student in Yonsei Univ.

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Official implementation of Pixel-Level Bijective Matching for Video Object Segmentation

Related tags

Overview

BMVOS

Benchmark Results

Architecture

Download

Usage

Note

Owner

Suhwan Cho

68 keypoint annotations for COFW test data

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