kaist-dmlab / df-tar Goto Github PK
View Code? Open in Web Editor NEW[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
License: MIT License
[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
License: MIT License
Why did you use Republic of Korea datasets?
There are only application examples about Korea,
but will there be meaningful results if I apply this to data from other countries?
Thanks for your great work:)
I wanna run it in multiple GPUs using tf.distribute.
Could you update it for that?
Any alternatives for the DTG dataset?
Where can I get more training data? Or can you upload more training data?
Thank you.
How did you determine the optimal hyper-parameter values?
hallo, in your paper, you mentioned the use of "dual loss function" as the loss of the training process.
Where is this implementation in the code. thank you.
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