I am very much looking forward to this. What do you think?
Sounds very interesting. I think we can leverage some of the looking into the model in Part 2 to see where the mistake occurs and potential ways of fixing it
Seems quite interesting! I hope it is framed to be logic intensive and not compute-intensive which only few can participate vigorously.
I’m really interested in the challenge and I’ll probably participate
Sounds like an interesting topic/challenge! I’ll keep watching this thread for some updates
Looks like the challenge itself starts in December, launched at NeurIPS.
Initial dataset has been released
Now on Kaggle …
Yes, I am interested in what ever is being defined as “deepfake” since its a very much something I’d like to better understand. The kaggle/facebook task is totally worth taking a look IMHO, nice prize money up for grabs
Google also released a deepfake dataset a couple of months ago https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html
Yes, this sounds like a great challenge to work on.
Wondering if anyone is interested in forming a team to get started on this competition and perhaps try and implement ideas mentioned in the research papers?
Given the constraints for the notebooks and the dataset sizes mentioned-it should be a very interesting one!
This seems like it might be pretty compute-intensive, which is pretty disappointing.
I’m interested to make a team ! I have already started implementing some papers like this one. This will be a very interesting challenge !
Ah yes! That’s great! I am pretty sure that I read somewhere that MesoNet and Capsule methods have shown best results in DeepFake detection, so that’s a great start!
Can I join?
Not sure if this works but AWS gives thousands in credits for this comp. I emailed them and awaiting their response .
All participants will be able to request a minimum of $1,000 in AWS credits to get started, with additional awards granted in quantities of up to $10,000 as entries demonstrate viability or success in detecting deepfakes. Participants can visit www.aws.amazon.com/aws-ml-research-awards to learn more and request AWS credits.
can you let me know what they say please?
Can I join too? Sent you a linkedin inv!