Zero Shot Learning for Classification

Zero Shot Learning for Classification

Zero shot learning is the ability to solve a task without receving any training examples of that task.

Artificial Intelligence

Description

ZSL for classification aims to map class descriptions to visual knowledge. A Semantic Output Classifier (SOC) uses a knowledge base of Semantic properties to extrapolate to novel classes.

No users to show at the moment.