2019
Modeling Uncertainty with Hedged Instance Embeddings
ICLR 2019poster
Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering. Many metric learning methods represent the input as a single point in the embedding space. Often the distance between points is used as a p…