Deep Learning from Noisy Image Labels with Quality Embedding

Understand

There is an emerging trend to leverage noisy image datasets in many visual recognition tasks.

• However, the label noise among the datasets severely degenerates the \mbox{performance of deep} learning approaches.
• Recently, one mainstream is to introduce the latent label to handle label noise, which has shown promising improvement in the network designs.
• Nevertheless, the mismatch between latent labels and noisy labels still affects the predictions in such methods.