Sample-wise Label Confidence Incorporation for Learning with Noisy Labels

no code implementations • ICCV 2023 • Chanho Ahn, Kikyung Kim, Ji-won Baek, Jongin Lim, Seungju Han

Although recent studies on designing a robust objective function to label noise, known as the robust loss method, have shown promising results for learning with noisy labels, they suffer from the issue of underfitting not only noisy samples but also clean ones, leading to suboptimal model performance.

Learning with noisy labels