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Zero-Shot Learning

Topic: Zero-Shot

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Learning Without Examples

Recognize unseen classes.

Approach

Learn attribute embedding. Map to attribute space. Classify using attributes.

Visual Features

Use pre-trained CNN. CLIP for zero-shot.

Challenges

Domain shift. Attribute noise. Scalability.

Key Takeaways

  1. Recognize unseen classes
  2. Attribute-based approach
  3. CLIP enables zero-shot

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