mainly focuses on samples where you not yet have found a good representation to align them with others it focuses on pairs that are not yet correctly close or together or far apart they also connect this to the triplet loss where they can show after some approximation that if their loss only has one positive and one negative sample it is going to be proportional to the triplet loss the triplet loss is basically where you have an image and you find one positive I think there's going to be of the same class right here and you find one