Mete Kemertas

RankMI: A Mutual Information Maximizing Ranking Loss

2020

We introduce an information-theoretic loss function, RankMI, and an associated training algorithm for deep representation learning for image retrieval. Our proposed framework consists of alternating updates to a network that estimates the divergence between distance …