Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets

Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

Abstract: Deep neural networks usually perform poorly when the training dataset suffers from extreme class imbalance. Recent studies found that directly training with out-of-distribution data (i.e., open-set...