The student is trained using the same ground-truth-based losses on its affinity, ŷS af f inity , and pose classifier, ŷS pose . Additionally, the student is trained to model the output of the teacher's pose classifier with the KD loss (3), the sum of KL divergence between the presoftmax values of the pose classifier of the student, s, and each teacher, t i . 13