R Cnn

Two-Stage or Single-Stage: How CNN-Based Object Detectors Actually Work

CNN-based object detection architectures primarily differ in their strategy: two-stage methods like R-CNN sequentially propose regions then classify them, while single-stage methods like YOLO perform localization and classification in a single pass. The choice between them hinges on the application's need for speed versus localization accuracy.