Asymmetric Loss For Multi-Label Classification

Emanuel Ben-Baruch, Tal Ridnik, Nadav Zamir +4

In a typical multi-label setting, a picture contains on average few positive labels, and many negative ones. This positive-negative imbalance dominates the optimization process, an…