목차 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019 https://arxiv.org/abs/1901.05555 Class-Balanced Loss Based on Effective Number of Samples With the rapid increase of large-scale, real-world datasets, it becomes critical to address the problem of long-tailed data distribution (i.e., a few classes account for most of the data, while most classes are under-represented). Existin..
