Hi Hayden,
In YOLOv2 (You Only Look Once version 2) within MATLAB, the 'reorgLayer' and 'featureLayer' have specific roles to enhance object detection.
The 'reorgLayer' reshapes the feature map by merging high-resolution and low-resolution features, reducing spatial dimensions while increasing depth. This helps in detecting objects of various sizes.
The 'featureLayer', often a 'reluLayer', follows the 'reorgLayer' to introduce non-linearity, which is essential for learning complex patterns.
The reson for placing 'featureLayer' (e.g., 'reluLayer') after the 'reorgLayer' to apply activation functions to the reorganized features, enabling the network to learn more complex representations.
I hope it helps!
