10 citations · 17 across the 5 of their papers we have counts for
3 papers
cs.CV2021★ 5 cited
Embedding Transfer with Label Relaxation for Improved Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho +1
This paper presents a novel method for embedding transfer, a task of transferring knowledge of a learned embedding model to another. Our method exploits pairwise similarities betwe…
cs.CV2020
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho +1
Existing metric learning losses can be categorized into two classes: pair-based and proxy-based losses. The former class can leverage fine-grained semantic relations between data p…
cs.CV2019★ 10 cited
Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim, Minkyo Seo, Ivan Laptev +2
Metric Learning for visual similarity has mostly adopted binary supervision indicating whether a pair of images are of the same class or not. Such a binary indicator covers only a…