2021
Learning Intra-Batch Connections for Deep Metric Learning
ICML 2021spotlight
The goal of metric learning is to learn a function that maps samples to a lower-dimensional space where similar samples lie closer than dissimilar ones. Particularly, deep metric learning utilizes neural networks to learn such a mapping. Most approaches rely on losses that only take the relations be…