The target encoder provides the answer key. It's a slow exponential moving average (EMA) of the context encoder, and no gradient ever flows through it (the stop-gradient). Every patch enters its ...

PCA can be ridiculously useful sometimes. That being said, unsupervised methods can be helpful in scenarios where it is costly/impossible to obtain labeled data. In these cases, it might be beneficial ...