Zero-Shot Learning via Joint Latent Similarity Embedding

Understand

Zero-shot recognition (ZSR) deals with the problem of predicting class labels for target domain instances based on source domain side information (e.g.

• attributes) of unseen classes.
• We formulate ZSR as a binary prediction problem.
• Our resulting classifier is class-independent.