juniorComputer Vision
What is pooling in CNNs?
Updated May 15, 2026
Short answer
Pooling reduces spatial dimensions while preserving important features.
Deep explanation
Max pooling and average pooling downsample feature maps, reducing computation and overfitting.
Real-world example
Used in mobile vision models to reduce computation.
Common mistakes
- Overusing pooling leading to loss of detail.
Follow-up questions
- Max vs average pooling?
- Does pooling learn parameters?