Skip to content

ltnghia/video-maskrcnn

Repository files navigation

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.

Releases

No releases published

Packages

No packages published