Question 9
In the Faster R-CNN architecture, the Region Proposal Network (RPN) plays a critical role in object detection.
Which of the following statements correctly describe the role of the RPN?
The RPN generates a set of class-agnostic region proposals likely to contain objects.
The RPN performs classification and bounding box regression to output object classes and their exact locations.
The RPN uses anchor boxes of different scales and aspect ratios to slide over convolutional feature maps.
The RPN replaces traditional region proposal methods like selective search, making the pipeline faster and end-to-end trainable.
The RPN outputs fixed-size feature maps that are directly used for object classification.
The RPN filters out background regions by assigning objectness scores to anchors.