Closed delip closed 8 years ago
Very interesting thread! Definitely worth looking into. Thanks!
FYI, this new alignment bumps accuracy from 0.9292 to 0.9425 on LFW
That's a very good result! Did you just apply the new alignment to the LFW test set, or did you apply it to the training set and retrain as well?
You need to retrain with the new alignments, and also apply to the test set. I would imagine not using the same alignment in test and train would make the results worse.
Also, I did not do this experiment. This result is from Brandon @ OpenFace. I want to retrain the models to try out a bunch of ideas, but I'm not easily getting access to CASIA (I have Facescrub).
Good news. I got access to CASIA dataset!
Per this new discussion on OpenFace, I think your models would benefit from a better dlib aligner. This is a drop in replacement for existing align-dlib.py. Checkout the new align-dlib.py.zip