Modeling Uncertainty with Hedged Instance Embedding

Seong Joon Oh, Kevin Murphy, Jiyan Pan +3

Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering. Many metric learnin…