Skip to content
/ LETGAN Public

How to Learn a Domain Adaptive Event Simulator? ACM MM, 2021

License

Notifications You must be signed in to change notification settings

iCVTEAM/LETGAN

Repository files navigation

LETGAN

How to Learn a Domain Adaptive Event Simulator? ACM MM 2021


Running Environment:

pytorch=1.4, 1 NVIDIA-1080TI. More details can be found in paper.


Easy Start:

Download model(code:m0f2). and add the folder into the "Model" folder.

run command "python inference.py". Note that configs should be prepared in "inferenceOptions.py" and data should be prepared as folder "Data" .


Acknowledgement:

Some of our code is based on the implementation of event_cnn_minimal, and Event Contrast Maximization Library.


Citations:

Please remember to cite us if u find this useful : )

@article{2021,
  title={How to Learn a Domain Adaptive Event Simulator?},
  author={ Gu, D.  and  Li, J.  and  Zhang, Y.  and  TIan, Y.},
  year={2021},
}

License

Please check our License files.

About

How to Learn a Domain Adaptive Event Simulator? ACM MM, 2021

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages