Emanuel Sanchez Aimar

Balanced Product of Calibrated Experts for Long-Tailed Recognition

Many real-world recognition problems are characterized by long-tailed label distributions. These distributions make representation learning highly challenging due to limited generalization over the tail classes. If the test distribution differs from the training distribution, e.g. uniform versus lon…