Pooling, detection, segmentation, and data augmentation
Reduce spatial dimensions while preserving the most important features in feature maps
Locate and classify multiple objects in an image using bounding boxes and confidence scores
Classify every pixel in an image — from semantic regions to individual object instances
Artificially expand training data with transformed copies to reduce overfitting