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video-maskrcnn's Introduction

Video Mask R-CNN

We tested the code on PyTorch 1.2.0 and CUDA 10.1

Installation

Check INSTALL.md for installation instructions.

Troubleshooting

Check TROUBLESHOOTING.md.

Projects using Video Mask R-CNN

Citations

Please consider citing this project in your publications if it helps your research:

@Inproceedings{ltnghia-WACV2020,
  Title          = {Toward Interactive Self-Annotation For Video Object Bounding Box: Recurrent Self-Learning And Hierarchical Annotation Based Framework},
  Author         = {Trung-Nghia Le and Akihiro Sugimoto and Shintaro Ono and Hiroshi Kawasaki},
  BookTitle      = {IEEE Winter Conference on Applications of Computer Vision},
  Year           = {2020},
}

License

The code is used for academic purpose only.

Acknowledgement

This work is heavily based on maskrcnn-benchmark.

Contact

Trung-Nghia Le.

video-maskrcnn's People

Contributors

ltnghia avatar

Stargazers

 avatar  avatar tianen avatar  avatar Yağız Nalçakan avatar  avatar Lê Minh Quân avatar  avatar An-zhi WANG avatar

Watchers

James Cloos avatar  avatar

video-maskrcnn's Issues

About code

Hi, thanks for the great work, and will the Attention R-CNN code be open source?

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