SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
A common classification task situation is where one has a large amount of data available for training, but only a small portion is annotated with class labels. The goal of semi-supervised training, in this context, is to improve classification accuracy by leverage information not only from labeled data but also …