Cross-to-merge training with class balance strategy for learning with noisy labels

1 code implementation • Expert Systems with Applications 2024 • Qian Zhang, Yi Zhu, Ming Yang, Ge Jin, YingWen Zhu, Qiu Chen

Although sample selection is a mainstream method in the field of learning with noisy labels, which aims to mitigate the impact of noisy labels during model training, the testing performance of these methods exhibits significant fluctuations across different noise rates and types.

Learning with noisy labels