I think you guys are reading different parts of the article. They present both results, supervised and unsupervised (where unsupervised uses the SFC dataset to

I think you guys are reading different parts of the article. They present both results, supervised and unsupervised (where unsupervised uses the SFC dataset to train). They achieved 95.92% accuracy LFW with unsupervised (section 5.3) - so they can train on SFC and then classify a single image in a different domain with 95.92% accuracy. They achieved the 97.25% accuracy level was achieved as you say, when they let the pairs into the training set. But they overfit with LFW alone, and has to add an additional 100k identities with more samples (30) per identity. A very impressive measure, but not quite as good as being able to generalize with 97% accuracy from a single training photo.