Probabilistic Contrastive Learning for Long-Tailed Visual Recognition: Overcoming Imbalance Issue in Data

The author proposes a novel probabilistic contrastive learning algorithm, ProCo, to address the imbalance issue in long-tailed data by estimating feature distributions and sampling contrastive pairs efficiently.