no code implementations • CVPR 2023 • Furen Zhuang, Pierre Moulin
Metric learning requires the identification of far-apart similar pairs and close dissimilar pairs during training, and this is difficult to achieve with unlabeled data because pairs are typically assumed to be similar if they are close.