I researched some materials，and know that the goal of contrastive learning and metric learning are both to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. But what is the difference of metric learning and contrastive learning? I can not understand.
Someone can give some advises? Thanks.