Object Detection Part 4: Fast Detection Models

Lilian Weng · 7 years ago

This article reviews fast object detection models including YOLO, SSD, and YOLOv2, contrasting one-stage detectors that skip region proposals with two-stage detectors like R-CNN. YOLO (2016) splits images into S×S grids and predicts bounding boxes directly, while SSD uses pyramidal feature hierarchies with 6 anchor boxes per location across multiple scales. YOLOv2 represents an enhanced version of the original YOLO framework for real-time detection applications.