Before revision:  Due to the additional structure encoded in the embedding space, our methods provide a higher verification accuracy (99.7, 86.2, 99.4, and 79.3\% with our proposed TL+PDP+FBV loss, versus 97.5, 72.6, 93.1, and 70.5\% using a standard Triplet Loss on the four datasets, respectively) .
After revision:  Due to the additional structure encoded in the embedding space, our methods provide a higher verification accuracy than training with just ArcFace or Triplet Loss alone. Moreover, the method is significantly more accurate than a simple multi-task learning approach .